Unverified history: an analysis of quotation accuracy in leading history journals
Aaron Cumberledge (),
Neal Smith and
Benjamin W. Riley
Additional contact information
Aaron Cumberledge: Daegu Gyeongbuk Institute of Science and Technology
Neal Smith: AdventHealth University
Benjamin W. Riley: Daegu Gyeongbuk Institute of Science and Technology
Scientometrics, 2023, vol. 128, issue 8, No 20, 4677-4687
Abstract:
Abstract The accurate use of references is vital to the academic search for truth. Despite this, previous bibliometric studies of many academic journals suggest that approximately 25% of references do not substantiate the propositions for which they are cited. This lack of substantiation is termed a “quotation error.” This paper presents the first assessment of quotation errors in history journals. Researchers compared articles in five leading journals with the references they cited, finding an error rate of 24.27%. Due to research difficulties posed by some citation conventions in history journals, this number likely underestimates the actual prevalence of errors. Additionally, this paper provides several potential methods for decreasing errors and improving the feasibility of future quotation error reviews.
Keywords: Quotation accuracy; Quotation errors; Citations; Bibliometrics; History (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-023-04755-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:scient:v:128:y:2023:i:8:d:10.1007_s11192-023-04755-w
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-023-04755-w
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().