{"id":15808,"date":"2022-04-27T09:46:11","date_gmt":"2022-04-27T12:46:11","guid":{"rendered":"https:\/\/mindthegraph.com\/blog\/why-citation-is-important-copy\/"},"modified":"2024-12-05T15:47:06","modified_gmt":"2024-12-05T18:47:06","slug":"research-journal-impact-factor","status":"publish","type":"post","link":"https:\/\/mindthegraph.com\/blog\/lt\/moksliniu-tyrimu-zurnalo-poveikio-veiksnys\/","title":{"rendered":"Mokslini\u0173 tyrim\u0173 \u017eurnalo poveikio koeficientas: \u017durnalistinis \u017eurnalas: i\u0161samus vadovas ir lyginamoji analiz\u0117"},"content":{"rendered":"<p>Ar kada nors susid\u016br\u0117te su sunkumais pasirinkdami tinkamiausi\u0105 \u017eurnal\u0105 savo straipsniui? Kiekvienam mokslininkui, norin\u010diam paskelbti straipsn\u012f, gali b\u016bti sunku pasirinkti tinkamiausi\u0105 \u017eurnal\u0105.  Taip neturi b\u016bti. <\/p>\n\n\n\n<p>Moksliniai tyrimai vis da\u017eniau grind\u017eiami tam tikrais rodikliais. \u017durnalo matricos suteikia svarbios informacijos apie jo poveik\u012f ir svarb\u0105 daugelyje mokslini\u0173 tyrim\u0173 sri\u010di\u0173 - jei ne visose. Did\u0117jant informacijos \u0161altini\u0173 skai\u010diui, vis svarbiau rasti veiksmingiausius b\u016bdus, kaip pasiekti tikslin\u0119 auditorij\u0105.<\/p>\n\n\n\n<p>Nor\u0117dami b\u016bti tikri, kad pasirinktas \u017eurnalas yra geriausias, prie\u0161 pasirinkdami \u017eurnal\u0105, per\u017ei\u016br\u0117kite jo rodiklius. Metrikos tikrai pad\u0117s jums apsispr\u0119sti, kur\u012f \u017eurnal\u0105 naudoti. . <strong>\u017durnalo poveikio koeficientas<\/strong>, pavyzd\u017eiui, nurodys, kokiam \u017eurnalui pateikti parai\u0161k\u0105.<\/p>\n\n\n\n<p>\u017durnalo poveikio koeficient\u0173 skai\u010di\u0173 nesunku su\u017einoti, ta\u010diau i\u0161 tikr\u0173j\u0173 suprasti \u0161iuos skai\u010dius yra visai kas kita. Toliau pateikiamas gidas, kuris pad\u0117s lengvai suprasti \u017eurnalo poveikio koeficient\u0105. Be kita ko, aptarsime, kas tai yra, taip pat i\u0161vardysime \u017eurnalus ir j\u0173 poveikio koeficientus, kad b\u016bt\u0173 lengviau apsispr\u0119sti.<\/p>\n\n\n\n<h2><strong>Kas yra<\/strong> <strong>mokslini\u0173 tyrim\u0173 \u017eurnalo poveikio koeficientas?<\/strong><\/h2>\n\n\n\n<p>Poveikio koeficientas (IF) - tai rodiklis, parodantis, kaip da\u017enai tam tikro \u017eurnalo straipsnis cituojamas per tam tikrus metus. Kasmet, <a href=\"https:\/\/clarivate.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">\"Clarivate Analytics<\/a> si\u016blo \"Web of <a href=\"https:\/\/clarivate.com\/webofsciencegroup\/solutions\/journal-citation-reports\/\">Mokslo \u017eurnal\u0173 citavimo ataskaitos<\/a> kurie apima \u017eurnalo poveikio koeficientus. <\/p>\n\n\n\n<p>Poveikio koeficientai skiriami tik tiems \u017eurnalams, kurie yra \u012ftraukti \u012f <a href=\"https:\/\/clarivate.com\/webofsciencegroup\/solutions\/webofscience-scie\/\">I\u0161pl\u0117stas mokslo citavimo indeksas (Science Citation Index Expanded)<\/a> (SCIE) ir <a href=\"https:\/\/clarivate.com\/webofsciencegroup\/solutions\/webofscience-ssci\/\">Socialini\u0173 moksl\u0173 citavimo indeksas<\/a> (SSCI).<\/p>\n\n\n\n<p>\"Research Journal Impact Factor\" leid\u017eia vartotojams \u012fvertinti ir suskirstyti akademinius \u017eurnalus \u012f kategorijas pagal kokyb\u0119 ir kompetencij\u0105 taikant kiekybinius ir kokybinius metodus. <\/p>\n\n\n\n<p>Mokslini\u0173 tyrim\u0173 \u017eurnalai, turintys didel\u012f poveikio koeficient\u0105, paprastai yra labiau vertinami.  Eugene'as Garfieldas, Mokslin\u0117s informacijos instituto \u012fk\u016br\u0117jas, pirmasis pristat\u0117 \u0161i\u0105 s\u0105vok\u0105. <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/eugene-garfield-research-journal-impact-factor.jpg\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"576\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/eugene-garfield-research-journal-impact-factor-1024x576.jpg\" alt=\"\" class=\"wp-image-15814\" srcset=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/eugene-garfield-research-journal-impact-factor-1024x576.jpg 1024w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/eugene-garfield-research-journal-impact-factor-300x169.jpg 300w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/eugene-garfield-research-journal-impact-factor-768x432.jpg 768w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/eugene-garfield-research-journal-impact-factor.jpg 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption class=\"wp-element-caption\"><em>Poveikio faktoriaus k\u016br\u0117jas ir chemin\u0117s informacijos pradininkas Eugene'as Garfieldas<\/em><\/figcaption><\/figure><\/div>\n\n\n<p>Daugelis organizacij\u0173 ir gydytoj\u0173 naudojasi \u017eurnal\u0173 poveikio rodikliais, ta\u010diau ne\u017eino, kaip jie apskai\u010diuojami, kokia j\u0173 svarba ir kaip jie naudojami. <\/p>\n\n\n\n<p>Yra nema\u017eai \u017eurnal\u0173, kuriuose publikuojama daugiau ap\u017evalgini\u0173 ar ap\u017evalgini\u0173 straipsni\u0173, tod\u0117l j\u0173 poveikio koeficientas yra didesnis. Kaip pa\u017eym\u0117jo Eugene'as Garfieldas, poveikio koeficientas tiesiog priklauso nuo to, kaip gerai \u017eurnalai ir redaktoriai pritraukia geriausius straipsnius \u012f savo \u017eurnalus. <\/p>\n\n\n\n<p>Tada kyla klausimas, ar <strong>kaip apskai\u010diuojamas poveikio koeficientas<\/strong> , ir <strong>kaip rasti tinkam\u0105 \u017eurnal\u0105 su geru poveikio koeficientu?<\/strong>&nbsp; Atid\u017eiau pa\u017evelkime \u012f \u0161iuos tikrai svarbius veiksnius.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/researcher.life\/all-access-pricing?utm_source=mtg&amp;utm_campaign=all-access-promotion&amp;utm_medium=blog\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"410\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-1024x410.png\" alt=\"\" class=\"wp-image-55425\" srcset=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-1024x410.png 1024w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-300x120.png 300w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-768x307.png 768w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-1536x615.png 1536w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-2048x820.png 2048w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-18x7.png 18w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2024\/08\/Banner3-100x40.png 100w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2><strong>Kaip nustatomas gero mokslini\u0173 tyrim\u0173 \u017eurnalo poveikio koeficientas?<\/strong><\/h2>\n\n\n\n<p>Ar galite k\u0105 nors pasakyti apie gero \u017eurnalo poveikio koeficient\u0105? Ar atsakymas yra 5, ar 99? N\u0117ra fiksuoto skaitinio atsakymo \u012f \u0161\u012f klausim\u0105 kiekvienam \u017eurnalui. <\/p>\n\n\n\n<p>Apskritai poveikio koeficientai naudojami santykinei \u017eurnalo svarbai jo ni\u0161oje nustatyti ir rei\u0161kia, kaip da\u017enai \u017eurnalo straipsnis buvo cituojamas per tam tikr\u0105 laikotarp\u012f.&nbsp;<\/p>\n\n\n\n<p>\"Clarivate Analytics\" poveikio koeficientams apskai\u010diuoti naudojamos \u012fvairi\u0173 mokslini\u0173 \u017eurnal\u0173 citatos. Journal Citation Reports (JCR) apskai\u010diuoja metin\u012f \u017eurnalo poveikio koeficient\u0105, apibendrindama visas citatas, kurios per vienerius metus priskiriamos straipsniams, paskelbtiems \u017eurnale per dvejus ankstesnius metus. <\/p>\n\n\n\n<p>Norint apskai\u010diuoti 2022 m. \u017eurnalo poveikio koeficient\u0105, reikia suskai\u010diuoti visas 2020 ir 2021 m. \u017eurnalo straipsni\u0173 citatas. Padalij\u0119 bendr\u0105 sum\u0105 i\u0161 tais metais \u017eurnale cituot\u0173 straipsni\u0173 skai\u010diaus, gauname einam\u0173j\u0173 met\u0173 (2022 m.) JIF, kuris skelbiamas 2023 m.&nbsp;<\/p>\n\n\n\n<h3><strong>2022 m. \u017eurnalo poveikio koeficiento apskai\u010diavimas<\/strong><\/h3>\n\n\n\n<p>A = 2020 ir 2021 m. paskelbt\u0173 straipsni\u0173, kurie 2022 m. buvo cituojami indeksuojamuose \u017eurnaluose, da\u017enumas.<\/p>\n\n\n\n<p>B = bendras \"cituojam\u0173 straipsni\u0173\", paskelbt\u0173 2020 ir 2021 m., skai\u010dius.<\/p>\n\n\n\n<p>A\/B = 2022 m. poveikio koeficientas&nbsp;<\/p>\n\n\n\n<p>Tod\u0117l v\u0117l kyla \u0161is klausimas, <strong>koks yra geras mokslini\u0173 tyrim\u0173 \u017eurnalo poveikio koeficientas? <\/strong>Paprasto atsakymo n\u0117ra, nes tai priklauso nuo \u017eurnalo tipo ir disciplinos, ta\u010diau galime padaryti kelet\u0105 vidutini\u0173 i\u0161vad\u0173.<\/p>\n\n\n\n<h3><strong>Koks yra geras mokslini\u0173 tyrim\u0173 \u017eurnalo poveikio koeficientas<\/strong><\/h3>\n\n\n\n<p>Tiksli\u0173j\u0173 moksl\u0173 srityje, kur citavimas yra greitesnis ir da\u017enesnis nei kitose srityse, \u017eurnalas, kurio JIF artimas 350, sulauks itin daug citat\u0173. Daugelyje mokslo sri\u010di\u0173 i\u0161skirtiniais laikomi 10 ar didesni poveikio koeficientai, o kai kuriose - didesni nei 3. Ta\u010diau Journal Citation Reports(JCR) \u017eurnal\u0173 poveikio koeficientai \u012fvairiose mokslo srityse labai skiriasi.<\/p>\n\n\n\n<p>Vertinant poveikio veiksnius reik\u0117t\u0173 atsi\u017evelgti \u012f \u0161iuos veiksnius:<\/p>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li>Publikavimo data: Poveikio koeficientai apskai\u010diuojami skai\u010diuojant citavim\u0173, kuriuos straipsnis gauna per trump\u0105 laikotarp\u012f nuo publikavimo datos, skai\u010di\u0173. Tod\u0117l spar\u010diai augan\u010di\u0173 sri\u010di\u0173, pavyzd\u017eiui, gyvyb\u0117s moksl\u0173 ir technologij\u0173, \u017eurnal\u0173 citavimo rodikliai i\u0161 karto yra didesni ir atitinkamai didesni poveikio koeficientai. Skai\u010diuojant vardikl\u012f, atsi\u017evelgiama tik \u012f cituojamus mokslinius straipsnius arba straipsnius ir ap\u017evalginius straipsnius.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li>Straipsniams, cituojamiems \u012f Web of Science duomen\u0173 baz\u0119 ne\u012ftrauktuose \u017eurnaluose, poveikio koeficientai neskai\u010diuojami.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li>Ap\u017evalginiai straipsniai: \u012e bendr\u0105 straipsni\u0173 skai\u010di\u0173 ne\u012ftraukiami ap\u017evalginiai straipsniai, nuomoni\u0173 straipsniai, lai\u0161k\u0173 straipsniai ir naujien\u0173 straipsniai; jei jie cituojami, jie vis tiek bus \u012fskai\u010diuoti \u012f \u017eurnalo citat\u0173 skai\u010di\u0173. Kai kuriais atvejais d\u0117l to gali padid\u0117ti poveikio koeficientai, nes pasikei\u010dia koeficientai, naudojami poveikio koeficientams apskai\u010diuoti.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li>Ma\u017eai cituojami \u017eurnalai paprastai yra klinikiniai \u017eurnalai. Tod\u0117l toki\u0173 \u017eurnal\u0173 cituojamumo rodikliai yra ma\u017eesni nei kit\u0173 pana\u0161ios tematikos \u017eurnal\u0173.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li>Pirmaisiais metais po \u017eurnalo pavadinimo pakeitimo \u017eurnalo poveikio koeficientas yra lygus nuliui, nes per dvejus metus iki pavadinimo pakeitimo paskelbt\u0173 straipsni\u0173 skai\u010dius yra lygus nuliui. Tas pats taikoma ir naujiems \u017eurnalams, \u012ftrauktiems \u012f JCR duomen\u0173 baz\u0119.<\/li>\n<\/ul>\n\n\n\n<ul class=\"has-white-color has-text-color has-background\" style=\"background-color:#dc1866\">\n<li>\u017durnal\u0173 citavimo ataskaitose apr\u0117ptis pasiskirs\u010diusi netolygiai, nes daugiausia d\u0117mesio skiriama temoms, kuriose daugiausia publikuojama \u017eurnal\u0173 straipsni\u0173. D\u0117l to joje ma\u017eai apr\u0117piami humanitariniai ir socialiniai mokslai, kurie labiau priklauso nuo knyg\u0173 ir kit\u0173 leidybos form\u0173.<\/li>\n<\/ul>\n\n\n\n<p>Tam tikros dalykin\u0117s kategorijos \u017eurnalo poveikio koeficient\u0105 galima nustatyti lyginant j\u012f su kitais tos pa\u010dios JCR dalykin\u0117s kategorijos \u017eurnalais. <\/p>\n\n\n\n<p>Nor\u0117dami tai pasiekti, turite eiti \u012f <a href=\"https:\/\/jcr.clarivate.com\/jcr\/home\" target=\"_blank\" rel=\"noreferrer noopener\">JCR svetain\u0117<\/a> \"InCites\" platformoje ir spustel\u0117kite Nar\u0161yti pagal kategorij\u0105. \u0160iame puslapyje rasite dalykines klasifikacijas, suskirstytas pagal kiekvienos kategorijos \u017eurnal\u0173 skai\u010di\u0173. <\/p>\n\n\n\n<p>Taip pat galima palyginti visus tam tikros temin\u0117s kategorijos \u017eurnalus su \u017eurnalo poveikio koeficientu, taip pat galite pasirinkti konkre\u010dius \u017eurnalus, kuriuos norite palyginti, naudodamiesi meniu parinktimis. Panagrin\u0117kime kelet\u0105 priemoni\u0173, kurias galima naudoti \u017eurnal\u0173 poveikio koeficientams apskai\u010diuoti.<\/p>\n\n\n\n<h2><strong>\u017durnalo poveikio koeficiento matavimo priemon\u0117s&nbsp;<\/strong><\/h2>\n\n\n\n<p>Dabar jau \u017einome, kaip atliekami skai\u010diavimai, tad su\u017einokime, kur juos galima atlikti. Visi toliau i\u0161vardyti \u012frankiai yra standartiniai ir pateikia svarbiausi\u0105 \u012fvairi\u0173 sri\u010di\u0173 \u017eurnal\u0173 poveikio koeficient\u0105.<\/p>\n\n\n\n<h3><strong>\u017durnalo citavimo ataskaitos<\/strong><\/h3>\n\n\n\n<p>Mokslo, technologij\u0173 ir socialini\u0173 moksl\u0173 \u017eurnal\u0173 reitingus pateikia <a href=\"https:\/\/clarivate.com\/webofsciencegroup\/solutions\/journal-citation-reports\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u017durnalo citavimo ataskaitos<\/a>. Kiekviename \u012f duomen\u0173 baz\u0119 \u012ftrauktame \u017eurnale pateikiama \u0161i informacija: 1) citavimo skai\u010diai ir straipsni\u0173 numeriai, 2) impakto koeficientas, 3) cituojamumo pusam\u017eis, 4) imlumo indeksas, 5) \u0161altinio \u012fra\u0161\u0173 s\u0105ra\u0161as, 6) cituojan\u010dio \u017eurnalo s\u0105ra\u0161as, 7) cituojamo \u017eurnalo s\u0105ra\u0161as, 8) mokslini\u0173 tyrim\u0173 kategorijos, 9) informacija apie autori\u0173.<\/p>\n\n\n\n<p>\u012e \u0161i\u0105 duomen\u0173 baz\u0119 \u012ftraukti tik \"Web of Science\" indeksuojam\u0173 \u017eurnal\u0173 citavimo duomenys. Indeksuojama daugiau kaip 12 000 meno, literat\u016bros, gamtos ir socialini\u0173 moksl\u0173 \u017eurnal\u0173. <\/p>\n\n\n\n<p>Naudodamiesi meniu pasirinkite JCR leidin\u012f (Science arba Social Science), metus ir kategorij\u0105, kad nustatytum\u0117te to \u017eurnalo poveikio koeficient\u0105. Paspauskite Pateikti, kad gautum\u0117te poveikio koeficient\u0105.&nbsp; <\/p>\n\n\n\n<p>Spustel\u0117kite dominant\u012f \u017eurnal\u0105, kad gautum\u0117te jo poveikio koeficient\u0105.  S\u0105ra\u0161\u0105 galima klasifikuoti keturiais b\u016bdais: pagal \u017eurnalo trukm\u0119, pagal citavim\u0105, pagal poveikio koeficient\u0105 ir pagal sav\u0105j\u012f koeficient\u0105.<\/p>\n\n\n\n<h3><strong>\"Scopus\" (Elsevier)<\/strong><\/h3>\n\n\n\n<p>Naudojant <a href=\"https:\/\/www.elsevier.com\/en-in\/solutions\/scopus\" target=\"_blank\" rel=\"noreferrer noopener\">\"Scopus Journal Analyzer<\/a>prie\u0161 pateikdami rankra\u0161t\u012f taip pat galite \u012fvertinti de\u0161imt vienos temin\u0117s srities \u017eurnal\u0173. Scopus duomen\u0173 baz\u0117je pateikiamos \"Elsevier\" paskelbtos santraukos ir citatos (bibliografija). <\/p>\n\n\n\n<p>\"Scopus Journal Analyzer\" atlieka daugiau kaip 20 500 mokslo, technologij\u0173, gyvyb\u0117s ir socialini\u0173 moksl\u0173 leidini\u0173 citavimo analiz\u0119. \u0160ios citatos buvo cituojamos nuo 1996 m. Kas du m\u0117nesius Scopus atnaujina savo duomen\u0173 baz\u0119. <\/p>\n\n\n\n<p>Naudodamiesi \"Scopus\" \u017eurnalo analizatoriumi galite nustatyti tris \u017eurnalo veiklos rodiklius: <a href=\"https:\/\/www.elsevier.com\/connect\/editors-update\/citescore-a-new-metric-to-help-you-choose-the-right-journal\">CiteScore<\/a>, SJR (<a href=\"https:\/\/www.scimagojr.com\/\">\"SCImago\" \u017eurnalo reitingas<\/a>) ir SNIP (<a href=\"https:\/\/lib.guides.umd.edu\/bibliometrics\/SNIP\">\u0160altinis Normalizuotas poveikis vienam dokumentui<\/a>).&nbsp;<\/p>\n\n\n\n<h3><strong>\"SCImago Journal Rank\" (SJR)(Elsevier)<\/strong><\/h3>\n\n\n\n<p>Svetain\u0117 <a href=\"https:\/\/www.scimagojr.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">\"SCImago\" \u017eurnalo ir \u0161alies reitingas<\/a> yra internetin\u0117 priemon\u0117, kurioje pateikiami \u017eurnal\u0173 ir \u0161ali\u0173 moksliniai statistiniai duomenys, pagr\u012fsti Scopus\u00ae duomen\u0173 baz\u0117s (Elsevier) duomenimis. <\/p>\n\n\n\n<p>Per \"Scopus\" galima rasti daugiau nei 10 000 \u017eurnal\u0173 i\u0161 daugiau nei 4 000 tarptautini\u0173 leid\u0117j\u0173, \u012fskaitant daugiau nei 1 000 atviros prieigos \u017eurnal\u0173. <\/p>\n\n\n\n<p>\u0160ioje duomen\u0173 baz\u0117je pateikiama daugiau kaip 34 100 straipsni\u0173 pavadinim\u0173 citat\u0173 i\u0161 daugiau kaip 5 000 leid\u0117j\u0173 visame pasaulyje. <\/p>\n\n\n\n<p>Joje taip pat pateikiami 239 \u0161ali\u0173 poveikio rodikliai. Taip pat galite integruoti svarbius \u017eurnalo rodiklius \u012f savo puslap\u012f kaip paspaud\u017eiamo paveiksl\u0117lio valdikl\u012f per SJCR.<\/p>\n\n\n\n<h3><strong>Nuosavas veiksnys<\/strong><\/h3>\n\n\n\n<p>2007 m. sausio m\u0117n. Carlas Bergstromas ir Jevinas Westas \u012fk\u016br\u0117 <a href=\"http:\/\/www.eigenfactor.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">Eigenfactor\u00ae<\/a>. \u0160\u012f projekt\u0105 r\u0117m\u0117 Va\u0161ingtono universiteto Informacijos mokyklos Vest laboratorija ir Biologijos departamento Bergstromo laboratorija. <\/p>\n\n\n\n<p>\u017durnalo Eigenfaktoriaus balas - tai rodiklis, kuriuo siekiama parodyti, kaip pla\u010diai \u017eurnalas naudojamas. Atitinkamai jie tur\u0117t\u0173 parodyti, kaip da\u017enai idealus tyr\u0117jas naudot\u0173si to \u017eurnalo med\u017eiaga. <\/p>\n\n\n\n<p>Be to, Eigenfaktoriaus rodiklis kinta priklausomai nuo \u017eurnalo dyd\u017eio - did\u0117jant \u017eurnale publikuojam\u0173 straipsni\u0173 skai\u010diui per metus, jis padid\u0117ja du kartus. <\/p>\n\n\n\n<p>\u017durnalo straipsni\u0173 \u012ftakos rodiklis parodo vidutin\u012f jo straipsni\u0173 poveik\u012f, tod\u0117l jis yra pana\u0161us \u012f \u012fprastin\u012f poveikio koeficient\u0105.<\/p>\n\n\n\n<h3><strong>SNIP (\u0161altinio normalizuotas poveikis vienam dokumentui)&nbsp;<\/strong><\/h3>\n\n\n\n<p>Svetain\u0117 <a href=\"https:\/\/lib.guides.umd.edu\/bibliometrics\/SNIP\" target=\"_blank\" rel=\"noreferrer noopener\">SNIP<\/a> projekt\u0105 \u012fk\u016br\u0117 Leideno universiteto Mokslo ir technologij\u0173 studij\u0173 centro profesorius Henkas F. Moedas. <\/p>\n\n\n\n<p>Pagal \u0161altinio normalizuot\u0105 poveik\u012f vienam dokumentui (SNIP) citavimo poveikis matuojamas svertiniu citavimo koeficientu, atsi\u017evelgiant \u012f citavim\u0173 kiek\u012f tam tikroje dalykin\u0117je srityje. \u0160altinio normalizuotas poveikis vienam dokumentui apskai\u010diuojamas kasmet, naudojant \"Scopus\" duomenis. <\/p>\n\n\n\n<p>Tose srityse, kuriose yra nedaug citat\u0173, viena citata turi didesn\u0119 reik\u0161m\u0119, ir atvirk\u0161\u010diai.  Neteising\u0105 citavimo praktik\u0105 koreguoja SNIP, tod\u0117l citavimo poveikio palyginimas skirtingose srityse yra tikslesnis.&nbsp;&nbsp;<\/p>\n\n\n\n<h3><strong>H indeksas<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/mdanderson.libanswers.com\/faq\/26221\" target=\"_blank\" rel=\"noreferrer noopener\">H indeksas<\/a> vertinamas ra\u0161ytojo mokslini\u0173 tyrim\u0173 rezultatas jo autoryst\u0117s lygmeniu. \u0160is indeksas \u012fvertina mokslininko mokslin\u012f ind\u0117l\u012f ir kartu \u012fvertina jo poveik\u012f. <\/p>\n\n\n\n<p>Jis apibr\u0117\u017eiamas kaip did\u017eiausias skai\u010dius, kurio autorius buvo cituotas tiek kart\u0173 tiek daugelyje savo darb\u0173. Pavyzd\u017eiui, jei autoriaus h indeksas yra 5, vadinasi, bent 5 jo darbai buvo cituoti bent 5 kartus.&nbsp; <\/p>\n\n\n\n<p>Jei h indeksas vir\u0161ija 20, autorius gali b\u016bti laikomas savo srities ekspertu. Taip pat gali b\u016bti apskai\u010diuojamas \u017eurnalo h indeksas. Tai rei\u0161kia did\u017eiausi\u0105 \u017eurnale paskelbt\u0173 straipsni\u0173, kurie praeityje buvo cituoti daugyb\u0119 kart\u0173, skai\u010di\u0173. Ilgiau gyvuojantys \u017eurnalai paprastai turi didesn\u012f h indeks\u0105.<\/p>\n\n\n\n<h3><strong>CiteScore<\/strong><\/h3>\n\n\n\n<p>Svetain\u0117 <a href=\"https:\/\/www.elsevier.com\/connect\/editors-update\/citescore-a-new-metric-to-help-you-choose-the-right-journal\" target=\"_blank\" rel=\"noreferrer noopener\">CiteScore<\/a> yra lygus tam tikrais metais \u017eurnalo gaut\u0173 citat\u0173 skai\u010diui i\u0161 straipsni\u0173, paskelbt\u0173 per pastaruosius trejus metus, padalijus j\u012f i\u0161 to paties laikotarpio \"Scopus\" indeksuojam\u0173 straipsni\u0173 skai\u010diaus. <\/p>\n\n\n\n<p>\u017durnalo cituojamumas vertinamas pagal \"Scopus\" CiteScore rodikl\u012f. \u0160is \u012frankis apskai\u010diuoja rodiklius pagal \"Scopus\" duomenis ir yra nemokamas. Jame yra daugiau kaip 24 000 reitinguojam\u0173 pavadinim\u0173, apiman\u010di\u0173 daugiau kaip 300 mokslo sri\u010di\u0173. <\/p>\n\n\n\n<p>\"CiteScore Tracker\" suteikia galimyb\u0119 ap\u017evelgti konkre\u010di\u0173 \u017eurnal\u0173 veiklos rezultatus per metus.<\/p>\n\n\n\n<h2><strong>Pagrindini\u0173 mokslini\u0173 tyrim\u0173 \u017eurnal\u0173 poveikio koeficientas<\/strong><\/h2>\n\n\n\n<p>Poveikis yra labai svarbus norint suprasti, kaip \u017eurnalui sek\u0117si laikui b\u0117gant, ir nustatyti jo krypt\u012f ateinan\u010diais metais.<\/p>\n\n\n\n<p> Tikrojo poveikio vaizdo niekada negalima susidaryti naudojant tik vien\u0105 rodikl\u012f, tod\u0117l sprendim\u0173 pri\u0117mimo procesui paremti reik\u0117t\u0173 naudoti \u012fvairius rodiklius. Pateikiame kelet\u0105 i\u0161 j\u0173 <strong>pagrindiniai \u017eurnalai, kuri\u0173 poveikio koeficientai nurodyti toliau.<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-background\" style=\"background-color:#fcf0ef\"><tbody><tr><td><strong>\u017durnal\u0173 leidyba<\/strong><\/td><td class=\"has-text-align-center\" data-align=\"center\"><strong>Poveikio koeficientas<\/strong><\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/\">Gamta&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">42.78<\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/ncomms\/\">Nature Communications&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">14.92<\/td><\/tr><tr><td><a href=\"https:\/\/www.nejm.org\/\">\"The New England Journal of Medicine&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">74.7<\/td><\/tr><tr><td><a href=\"https:\/\/www.science.org\/\">Mokslas&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">41.84<\/td><\/tr><tr><td><a href=\"https:\/\/cvpr2016.thecvf.com\/\">IEEE\/CVF konferencija \"Kompiuterinis matymas ir modeli\u0173 atpa\u017einimas&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">45.17<\/td><\/tr><tr><td><a href=\"https:\/\/pubs.acs.org\/journal\/chreay\">Chemin\u0117s ap\u017evalgos<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">60.62<\/td><\/tr><tr><td><a href=\"https:\/\/pubs.acs.org\/journal\/jacsat\">Amerikos chemik\u0173 draugijos \u017eurnalas<\/a>&nbsp;<\/td><td class=\"has-text-align-center\" data-align=\"center\">15.42<\/td><\/tr><tr><td><a href=\"https:\/\/www.pnas.org\/\">Neuronin\u0117s informacijos apdorojimo sistemos<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">16.54<\/td><\/tr><tr><td><a href=\"https:\/\/pubs.rsc.org\/en\/journals\/journalissues\/cs#!recentarticles&amp;adv\">Chemin\u0117s visuomen\u0117s ap\u017evalgos<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">54.56<\/td><\/tr><tr><td><a href=\"https:\/\/pubs.rsc.org\/en\/journals\/journalissues\/ee#!recentarticles&amp;adv\">Energetika ir aplinkos mokslas<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">38.532<\/td><\/tr><tr><td><a href=\"https:\/\/ascopubs.org\/journal\/jco\/\">Klinikin\u0117s onkologijos \u017eurnalas<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">44.54<\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/nm\/\">Gamtos medicina<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">53.44<\/td><\/tr><tr><td><a href=\"https:\/\/link.springer.com\/conference\/eccv\">Europos kompiuterin\u0117s regos konferencija<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">25.91<\/td><\/tr><tr><td><a href=\"https:\/\/iccv2017.thecvf.com\/\">IEEE\/CVF tarptautin\u0117 kompiuterin\u0117s regos konferencija<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">20.97<\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/articles\/ng.3643\">Gamtos genetika<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">38.33<\/td><\/tr><tr><td><a href=\"https:\/\/www.jacc.org\/\">Amerikos kardiologijos koled\u017eo \u017eurnalas<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">20.59<\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/nbt\/\">Gamtos biotechnologijos&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">54.91<\/td><\/tr><tr><td><a href=\"https:\/\/academic.oup.com\/eurheartj\">Europos \u0161irdies \u017eurnalas<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">29.98<\/td><\/tr><tr><td><a href=\"https:\/\/www.aaai.org\/Conferences\/AAAI\/aaai.php\">AAAI dirbtinio intelekto konferencija&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">3.055<\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/nrm\/\">\"Nature Reviews\" ap\u017evalgos. Molekulin\u0117 l\u0105steli\u0173 biologija<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">94.44<\/td><\/tr><tr><td><a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=9739\">IEEE komunikacij\u0173 ap\u017evalgos ir vadov\u0117liai<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">25.249<\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/nphys\/\">Gamtos fizika<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">20.03<\/td><\/tr><tr><td><a href=\"https:\/\/www.nature.com\/nclimate\/\">Gamta Klimato kaita&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">20.89<\/td><\/tr><tr><td><a href=\"https:\/\/www.journals.elsevier.com\/journal-of-business-research\">Verslo tyrim\u0173 \u017eurnalas<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">7.550<\/td><\/tr><tr><td><a href=\"https:\/\/www.frontiersin.org\/journals\/microbiology\">Mikrobiologijos ribos&nbsp;<\/a><\/td><td class=\"has-text-align-center\" data-align=\"center\">4.076<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2><strong>\u0160tai kaip pagerinti poveikio koeficient\u0105 naudojant vaizdin\u0119 med\u017eiag\u0105<\/strong><\/h2>\n\n\n\n<p>Kad \u017eurnalas pagerint\u0173 savo poveikio koeficient\u0105, jo straipsniai turi b\u016bti auk\u0161to lygio ir da\u017enai cituojami. Kad tai b\u016bt\u0173 pasiekta, pateikti straipsniai turi tur\u0117ti auk\u0161tesnius veiksnius, kurie leist\u0173 jiems i\u0161siskirti. <\/p>\n\n\n\n<p>Vis da\u017eniau \u017eurnalai, priimdami parai\u0161kas, kartu su straipsniais pra\u0161o pateikti \"vaizdines santraukas\". Reikalaujama, kad pagrindin\u0117s straipsnio i\u0161vados b\u016bt\u0173 pateiktos vizualiai ir i\u0161samiai, glaustai, vaizdine santrauka. <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/visual-abastract-example.jpg\"><img decoding=\"async\" loading=\"lazy\" width=\"832\" height=\"682\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/visual-abastract-example.jpg\" alt=\"\" class=\"wp-image-15817\" srcset=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/visual-abastract-example.jpg 832w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/visual-abastract-example-300x246.jpg 300w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/visual-abastract-example-768x630.jpg 768w\" sizes=\"(max-width: 832px) 100vw, 832px\" \/><\/a><figcaption class=\"wp-element-caption\"><em>Vizualin\u0117s abstrakcijos, sukurtos naudojant <a href=\"https:\/\/mindthegraph.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Mind the Graph<\/a><\/em><\/figcaption><\/figure><\/div>\n\n\n<p>Galite naudoti straipsnio i\u0161vadas arba, dar geriau, paveiksl\u0117l\u012f, kuris greitai perteikia straipsnio esm\u0119, pvz., konkre\u010diam straipsniui skirt\u0105 paveiksl\u0117l\u012f.&nbsp;<\/p>\n\n\n\n<p>Straipsniai su <strong>\u012frodyta, kad grafin\u0117s santraukos turi teigiam\u0105 poveik\u012f tiek straipsnio per\u017ei\u016br\u0173 skai\u010diui, tiek citavimui.<\/strong>ir galiausiai pagerino \u017eurnalo poveikio koeficient\u0105. <\/p>\n\n\n\n<p>Svarbu pa\u017eym\u0117ti, kad, palyginti su straipsniais be vaizdin\u0117s santraukos, apskai\u010diuota, kad <strong>vidutinis straipsni\u0173 su vaizdine santrauka naudojimo per metus skai\u010dius padvigub\u0117jo.<\/strong>. <\/p>\n\n\n\n<p>Be to, kad padidinsite savo darbo cituojamum\u0105, j\u012f i\u0161ry\u0161kinsite \u012ftraukdami daugyb\u0119 grafikos element\u0173. Vis da\u017eniau mokslininkai \u012f savo tyrimus \u012ftraukia grafines iliustracijas. <\/p>\n\n\n\n<p>Grafikos iliustracij\u0173 naudojimas kaip b\u016bdas perteikti savo tyrimus gali b\u016bti veiksmingas ir efektyvus. Skaitykite m\u016bs\u0173 straipsn\u012f apie<a href=\"https:\/\/mindthegraph.com\/blog\/visual-abstract\/\"> Kas yra vizualin\u0117 santrauka ir kaip j\u0105 sukurti papras\u010diausiu b\u016bdu<\/a>.<\/p>\n\n\n\n<p>Vis d\u0117lto turite u\u017etikrinti, kad iliustracijos ir vaizdin\u0117s santraukos neb\u016bt\u0173 nukopijuotos ir \u012fklijuotos. Kaip ir nuo ko tur\u0117tum\u0117te prad\u0117ti? At\u0117jote \u012f tinkam\u0105 viet\u0105! Su <a href=\"https:\/\/mindthegraph.com\/\">Mind the Graph<\/a>, galite rinktis i\u0161 daugyb\u0117s iliustracij\u0173 \u012fvairiose srityse. <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/illustrations-banner.png\"><img decoding=\"async\" loading=\"lazy\" width=\"517\" height=\"250\" src=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/illustrations-banner.png\" alt=\"\" class=\"wp-image-15818\" srcset=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/illustrations-banner.png 517w, https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2022\/04\/illustrations-banner-300x145.png 300w\" sizes=\"(max-width: 517px) 100vw, 517px\" \/><\/a><\/figure><\/div>\n\n\n<p>Dar \u012fdomiau yra tai, kad, jei pageidaujate, m\u016bs\u0173 specialist\u0173 komanda gali pagaminti j\u012f pagal u\u017esakym\u0105. Savo tinklara\u0161tyje taip pat skelbiame straipsnius, susijusius su mokslo temomis, ir kitus naudingus vadovus. Jei norite pa\u017evelgti, spustel\u0117kite <a href=\"https:\/\/mindthegraph.com\/blog\/\">\u010dia<\/a>.<\/p>\n\n\n\n<div style=\"height:41px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Mokslini\u0173 tyrim\u0173 \u017eurnalo poveikio koeficient\u0105 nesunku rasti, ta\u010diau suprasti \u0161iuos skai\u010dius - visai kas kita. \u010cia pateikiame tok\u012f gid\u0105.<\/p>","protected":false},"author":4,"featured_media":15811,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[38],"tags":[96,843,554,250,319,775,810,962],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Research Journal Impact factor: A Complete Guide - MTG<\/title>\n<meta name=\"description\" content=\"The research journal impact factor is easy to find, but understanding those numbers is quite another matter. Here is a guide for that.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mindthegraph.com\/blog\/lt\/moksliniu-tyrimu-zurnalo-poveikio-veiksnys\/\" \/>\n<meta property=\"og:locale\" content=\"lt_LT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Visual abstracts made easy with Mind the Graph\" \/>\n<meta property=\"og:description\" content=\"Your visual abstracts can be beautiful with Mind the Graph. Learn how to create them in this special post with design tips for scientists.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mindthegraph.com\/blog\/lt\/moksliniu-tyrimu-zurnalo-poveikio-veiksnys\/\" \/>\n<meta property=\"og:site_name\" content=\"Mind the Graph Blog\" \/>\n<meta property=\"article:published_time\" content=\"2022-04-27T12:46:11+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-05T18:47:06+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/mindthegraph.com\/blog\/wp-content\/uploads\/2021\/11\/graphical_abstract_madeeasy_blog.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1123\" \/>\n\t<meta property=\"og:image:height\" content=\"612\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Fabricio Pamplona\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Visual abstracts made easy with Mind the Graph\" \/>\n<meta name=\"twitter:description\" content=\"Your visual abstracts can be beautiful with Mind the Graph. 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