scholarly journals Open Citation Data reach critical Milestone

Author(s):  
Martin Fenner

Last Friday the OpenCitations blog published a guest post by Alberto Mart??n-Mart??n that describes the coverage by COCI and other open citation data compared to subscription citation indexes. This is an important blog post, ...

2020 ◽  
Vol 1 (1) ◽  
pp. 428-444 ◽  
Author(s):  
Silvio Peroni ◽  
David Shotton

OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes. Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities. These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.


Author(s):  
Kiduk Yang ◽  
Jongwook Lee ◽  
Seon-Heui Choi

Science ◽  
1956 ◽  
Vol 123 (3185) ◽  
pp. 62-62
Author(s):  
Eugene Garfield
Keyword(s):  

2019 ◽  
Vol 71 (1) ◽  
pp. 90-104 ◽  
Author(s):  
Rabishankar Giri

Purpose The purpose of this paper is to explore the influence of selected factors in journal citations. Various factors can affect citations distribution of journals. Among them, skewness of citations distribution, author self-citation, journal self-citation and recitations (RCs) have been studied. Design/methodology/approach The present study based on 16 systematically selected journals indexed in Scopus under the subject category “Library and Information Science.” The study was confined to original research and review articles that were published in the selected journals in the year 2011. The temporal citation window from 2011 to 2014 was taken for analysis. Tools like, Scopus author ID, ORCID and author profiles from Google Scholar were used to minimize the error due to homonyms, spelling variances and misspelling in authors’ names. Findings It is found that citations distribution in majority of the journals under the study is highly skewed and more likely to follow log-normal distribution. The nature of authorship in papers was found to have positive effect on citation counts. Self-citing data show that higher ranked journals have rather less direct impact on total citation counts than their lower counterpart. RCs are also found to be more in top-tier journals. Though the influence of self-citations and RCs were relatively less at individual level on total citations of journals but combined, they can play a dominant role and can affect total citation counts of journals at significant level. Research limitations/implications The present study is based on Scopus database only. Therefore, citation data can be affected by the inherent limitation of Scopus. Readers are encouraged to further the study by taking into account large sample and tracing citations from an array of citation indexes, such as Web of Science, Google citations, Indian Citation Index, etc. Originality/value This paper reinforces that the citations received by journals can be affected by the factors selected in this study. Therefore, the study provides better understanding of the role of these selected factors in journal citations.


2017 ◽  
Vol 29 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Guillermo Armando RONDA-PUPO

Abstract The aim of this paper is to further explore the recent conversation about the indicators for research evaluation through citation-based indexes. It evaluates the Cuban Biotechnology; Applied Microbiology researchers’ citation-based performance, according to their scientific production in journals of the ISI Web of Science database through the Relative Author Superiority Index. The methodology comprises six steps: (1) preparation of the data; (2) calculation of the Percentile Rank Index for each of the papers; (3) calculation of the Author Superiority Index for each of the authors; (4) Calculation of the Relative Author Superiority Index; (5) Comparison of the Author Superiority Index of each author to their Hirsch (H) and G citation indexes and (6) individual or group evaluation of the citation-based performance. The findings suggest that the group of Cuban researchers in biotechnology achieved a high citation-based performance within the analyzed period. The results show the effectiveness of this index to assess the citation performance of individual or group researchers when the impact factor of the researcher or group under evaluation is not high. In addition, the Relative Author Superiority index could be complementary to other previous indicators such as H-index, G-index or citation counts as it overcomes the limitations of the age of publications, length of the author’s career, and the self-citation problem that are present in other indicators.


2015 ◽  
Vol 20 (4) ◽  
pp. 108-116 ◽  
Author(s):  
A.A. Shvedovskaya ◽  
N.V. Meshkova

This study aims to explore the journal bibliometric characteristics of the journal “Psychological Science and Education”. The citation data were drawn from references of each article of “Psychological Science and Education” during 1996 and 2015. Data retrieved from the Russian Citation Index (E.library.ru) and the Portal of Russian Psychological Publications (Psyjournals.ru) database were used to identify the main cited journals, publications and authors.


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