Is there bias in editorial choice? Yes
Khaled Moustafa ()
Additional contact information
Khaled Moustafa: Conservatoire National des Arts et Métiers
Scientometrics, 2015, vol. 105, issue 3, No 47, 2249-2251
Abstract:
Abstract Nature has recently published a Correspondence claiming the absence of fame biases in the editorial choice. The topic is interesting and deserves a deeper analysis than it was presented because the reported brief analysis and its conclusion are somewhat biased for many reasons, some of them are discussed here. Since the editorial assessment is a form of peer-review, the biases reported on external peer-reviews would, thus, apply to the editorial assessment, too. The biases would be proportional to the elitist level of a journal; the more elitist a journal, the more biased its decisions, unavoidably. The bias could be intentional or unintentional, conscious or subconscious, reflecting our imperfect human nature.
Keywords: Editorial bias; Fame bias; Peer review; Manuscript submission; Peer review bias; Blind peer review (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1617-3 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:105:y:2015:i:3:d:10.1007_s11192-015-1617-3
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-015-1617-3
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 ().