Croatian Medical Journal citation score in Web of Science, Scopus, and Google Scholar

Šember, Marijan and Utrobičić, Ana and Petrak, Jelka (2010) Croatian Medical Journal citation score in Web of Science, Scopus, and Google Scholar. Croatian Medical Journal, 51 (2). pp. 99-103. ISSN 0353-9504

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Abstract

AIM: To analyze the 2007 citation count of articles published by the Croatian Medical Journal in 2005-2006 based on data from the Web of Science, Scopus, and Google Scholar. ----- METHODS: Web of Science and Scopus were searched for the articles published in 2005-2006. As all articles returned by Scopus were included in Web of Science, the latter list was the sample for further analysis. Total citation counts for each article on the list were retrieved from Web of Science, Scopus, and Google Scholar. The overlap and unique citations were compared and analyzed. Proportions were compared using χ2-test. ----- RESULTS: Google Scholar returned the greatest proportion of articles with citations (45%), followed by Scopus (42%), and Web of Science (38%). Almost a half (49%) of articles had no citations and 11% had an equal number of identical citations in all 3 databases. The greatest overlap was found between Web of Science and Scopus (54%), followed by Scopus and Google Scholar (51%), and Web of Science and Google Scholar (44%). The greatest number of unique citations was found by Google Scholar (n=86). The majority of these citations (64%) came from journals, followed by books and PhD theses. Approximately 55% of all citing documents were full-text resources in open access. The language of citing documents was mostly English, but as many as 25 citing documents (29%) were in Chinese. ----- CONCLUSION: Google Scholar shares a total of 42% citations returned by two others, more influential, bibliographic resources. The list of unique citations in Google Scholar is predominantly journal based, but these journals are mainly of local character. Citations received by internationally recognized medical journals are crucial for increasing the visibility of small medical journals but Google Scholar may serve as an alternative bibliometric tool for an orientational citation insight.

Abstract in Croatian

Izračun citata Croatian Medical Journala u pismohranama podataka Web of Science, Scopus, i Google Scholar ----- Cilj: Napraviti izračun citata iz godine 2007. članaka objavljenih u Croatian Medical Journal-u 2005. i 2006. a prema podatcima iz pismohrana Web of Science, Scopus, i Google Scholar. ----- Postupci: Pretraživali smo Web of Science i Scopus za članke objavljene 2005. i 2006. S obzirom da su svi članci pronađeni u Scopusu nađeni i u Web of Science, analiza je rađena na popisu članaka nađenih u Web of Science. Nađen je ukupan zbroj citata za svaki članak u Web of Science, Scopusu, i Google Scholaru. Uspoređena su i analizirana preklapanja i jedinstveni citati. Proporcije su uspoređene s pomoću χ2 testa. ----- Rezultati: Najviše članaka koji su citirani nađeno je u Google Scholaru (45%), a zatim u Scopusu (42%), i Web of Science (38%). Gotovo polovina (49%) članaka nije dobila niti jedan citat, a 11% članaka je imalo jednak broj identičnih citata u sve 3 baze podataka. Najveće preklapanje nađeno je između Web of Science i Scopusa (54%), a zatim između Scopusa i Google Scholara (51%), i Web of Science i Google Scholara (44%). Najveći broj jedinstvenih citata nađen je u Google Scholaru (n=86). Većina tih citata (64%) došla je iz časopisa, a zatim iz knjiga i doktorskih radova. Približno 55% svih citirajućih dokumenata dati su u cijelosti u časopisima s otvorenim pristupom. Jezik citirajućih dokumenata uglavnom je bio engleski, ali čak 12 dokumenata (29%) bilo je na kineskom. ----- Zaključak: Google Scholar dijeli 42% citata s ostalim, utjecajnijiim, bibliografskim izvorima. Jedinstveni citati u Google Scholaru većinom su došli iz časopisa, ali ti časopisi su uglavnom lokalnog karaktera. Citati iz međunarodno priznatih medicinskih časopisa nužni su za povećanje vidljivosti malih medicinskih časopisa, ali Google Scholar može poslužiti kao alternativni bibliometrijski alat za dobivanje orijentacijskog uvida u citiranost.

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