In†text function of author self†citations: Implications for research evaluation practice
Dangzhi Zhao,
Andreas Strotmann and
Alicia Cappello
Journal of the Association for Information Science & Technology, 2018, vol. 69, issue 7, 949-952
Abstract:
Author self†citations were examined as to their function, frequency, and location in the full text of research articles and compared with external citations. Function analysis was based on manual coding of a small dataset in the field of library and information studies, whereas the analyses by frequency and location used both this small dataset and a large dataset from PubMed Central. Strong evidence was found that self†citations appear more likely to serve as substantial citations in a text than do external citations. This finding challenges previous studies that assumed that self†citations should be discounted or even removed and suggests that self†citations should be given more weight in citation analysis, if anything.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://doi.org/10.1002/asi.24046
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jinfst:v:69:y:2018:i:7:p:949-952
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=2330-1635
Access Statistics for this article
More articles in Journal of the Association for Information Science & Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().