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In the era of information technology, scholarly journals cannot escape the rising tide of technological advancement. To be exposed more easily to readers, the web forms of scholarly journals and articles become more important year after year. Furthermore, there is a trend of print journals closing, and a significant emergence of online journals. Journal Article Tag Suite (JATS) extensible markup language (XML) became an National Information Standards Organization standard language in online journal publishing in 2012. It is an essential format to present readers with a more user-friendly interface. JATS XML was developed by PubMed Central (PMC) XML, which was a deposit form of articles to PMC. Editors and other publishing-related personnel should be able to understand the concept and production process of XML files. When JATS XML is produced, a variety of web presentation views can be generated, such as PubReader and epub 3.0. Further, JATS XML can be easily converted to digital object identifier CrossRef XML, CrossMark XML, and FundRef XML. Small scholarly society journal editors and publishers can promote the visibility of their journals by depositing JATS XML files to PMC or ScienceCentral. Owing to these benefits of JATS XML, publishers and editors should now adopt JATS XML for journal publishing.
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In general, the Journal Article Tag Suite (JATS) extensible markup language (XML) coding is processed automatically by an XML filtering program. In this article, the basic tagging in JATS is explained in terms of coding practice. A text editor that supports UTF-8 encoding is necessary to input JATS XML data that works in every language. Any character representable in Unicode can be used in JATS XML, and commonly available web browsers can be used to view JATS XML files. JATS XML files can refer to document type definitions, extensible stylesheet language files, and cascading style sheets, but they must specify the locations of those files. Tools for validating JATS XML files are available via the web sites of PubMed Central and ScienceCentral. Once these files are uploaded to a web server, they can be accessed from all over the world by anyone with a browser. Encoding an example article in JATS XML may help editors in deciding on the adoption of JATS XML.
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We would like to verify the correlation among various citation indicators of 62 Korean scientific journals listed in the Web of Science (WoS) and Scopus. From a total of 85 Korean journals listed in both WoS as of January 2013, and 132 journals listed in Scopus as of 2011, 62 Korean journals listed in both citation indices were selected for analysis. Citation index indicators selected for analysis include impact factor (IF), 5-year impact factor (5yrIF), Eigenfactor score (EF), article influence score (AIS) (list of WoS indicators), SCImago journal rank (SJR), h-index, and impact index (ImIndex) (list of Scopus indicators). It took an average of eight years for a newly founded journal to be listed in Science Citation Index Expanded (SCIE). Since the IF, ImIndex, and AIS values failed to exceed 1.0, Korean journals’ popularity and prestige were confirmed to be minimal. Analyzed journals that were written in English exhibited higher SJR and h-index values than ones written in Korean. WoS’ IF exhibited a correlation with WoS’ 5yrIF, EF, AIS, and Scopus’ SJR, h-index, and ImIndex. Since the ‘popularity and prestige of Korean journals’ have been confirmed to be minimal, steps must be taken to improve this status. Popularity-based indicators have been shown to strongly correlate with prestige-based indicators in Korean science journals. Therefore, there must be a strategic approach taken to improve IF values.
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We hypothesized that it is not open access status but rather exposure in the PubMed platform that affects citation frequency in medical journals. In November 2008, medical journals from Korea began to be added to PubMed Central (PMC). Therefore, it would be interesting to know whether or not their impact factor based on Web of Science has increased since the journals were listed in PMC/PubMed. To answer this question, a citation analysis of seven journals that have been indexed in PMC since 2008 or 2009 was done. Only non-Medline journals were selected and the impact factors of five Medline journals were compared. The impact factor was calculated via Web of Science. Journal Citation Reports (JCR) data were used if the data of the target journals were provided in JCR. Trends for the impact factors of different years were analyzed using dBSTAT ver. 5.0. There has been an increasing rates of the impact factor for the seven non-Medline journals, 1.92 in 2011 over 2010; 3.27 in 2010 over 2009; 1.12 in 2012 over 2011. As for the five Medline journals, the increasing rate in 2010 over 2009 was 1.18; however, those of 2011 over 2010 and 2012 over 2011 were 1.01 and 1.04 respectively. The Science Citation Index Expanded impact factor of medical journals published in Korea can be increased if those journals are published in English and listed in PMC. This is an effect of the platform in which the journals are listed and not just an effect of free access.
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The Republic of Korea is the fourth ranking country for the number of PubMed Central (PMC) journals. As of September 2013, 75 journals from Korea are included in PMC. Starting in 2013, several research funding agencies for scholarly journal publications in Korea began to establish open access, full-text databases in the fields of medicine, science, and social sciences and humanities. In those databases, Journal Article Tag Suite (JATS) 1.0 is used so that articles written in the Korean language can be easily manipulated as full-text extensible markup language (XML). Editors or publishers must produce full-text XML files based on JATS 1.0. Thus this paper surveys the current state of the application of JATS 1.0 to Korean scholarly journals, including both those in English and those in Korean, focusing on the current technology, training programs, and the policy of the Korean government on open access, full-text XML. This experience in Korea can be a model for constructing mother-tongue, open access, full-text journal databases based on JATS 1.0 in other countries. The usefulness of JATS in scholarly journal publications not only of all fields, but also in all languages, is stressed.
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