Journal article
The relationship between journal citation impact and citation sentiment: A study of 32 million citances in PubMed Central
Quantitative science studies, v 1(2), pp 1-11
25 Mar 2020
Abstract
Citation sentiment plays an important role in citation analysis and scholarly communication research, but prior citation sentiment studies have used small data sets and relied largely on manual annotation. This paper uses a large data set of PubMed Central (PMC) full-text publications and analyzes citation sentiment in more than 32 million citances within PMC, revealing citation sentiment patterns at the journal and discipline levels. This paper finds a weak relationship between a journal’s citation impact (as measured by CiteScore) and the average sentiment score of citances to its publications. When journals are aggregated into quartiles based on citation impact, we find that journals in higher quartiles are cited more favorably than those in the lower quartiles. Further, social science journals are found to be cited with higher sentiment, followed by engineering and natural science and biomedical journals, respectively. This result may be attributed to disciplinary discourse patterns in which social science researchers tend to use more subjective terms to describe others’ work than do natural science or biomedical researchers.
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Details
- Title
- The relationship between journal citation impact and citation sentiment: A study of 32 million citances in PubMed Central
- Creators
- Erjia Yan - College of Computing and Informatics, Drexel University, 3675 Market Street, Philadelphia, PA 19104Zheng Chen - College of Computing and Informatics, Drexel University, 3675 Market Street, Philadelphia, PA 19104Kai Li - College of Computing and Informatics, Drexel University, 3675 Market Street, Philadelphia, PA 19104
- Publication Details
- Quantitative science studies, v 1(2), pp 1-11
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000691838100011
- Scopus ID
- 2-s2.0-85117782016
- Other Identifier
- 991014976810204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Information Science & Library Science