A descriptive study of inaccuracy in article titles on bibliometrics published in biomedical journals
Rafael Aleixandre-Benavent (),
Vicent Montalt-Resurecció and
Juan Carlos Valderrama-Zurián
Additional contact information
Rafael Aleixandre-Benavent: UISYS, Instituto de Historia de la Medicina y de la Ciencia López Piñero, CSIC-Universitat de València
Vicent Montalt-Resurecció: Universitat Jaume I
Juan Carlos Valderrama-Zurián: Universidad Católica San Vicente
Scientometrics, 2014, vol. 101, issue 1, No 36, 791 pages
Abstract:
Abstract In a bid for an eye-catching title, many writers use devices such as interrogation and exclamation marks, metaphors, double meanings and vague expressions which do not comply with accepted standards in style manuals of scientific writing. The purpose of this article is to analyse the lack of accuracy of titles in articles on bibliometrics published in biomedical journals and to discuss the effect this may have on the reader. A corpus of 1,505 titles included in PubMed and Web of Science between 2009 and 2011 and retrieved under the MeSH major topic “bibliometrics” and other related terms was analyzed. Different types of inaccuracy were identified and a classification was developed and used for this particular study. 23.4 % of the titles contain inaccuracies of some kind. Editorial titles show a higher percentage of these (11.43 %) than original articles (8.83 %) and letters (3.2 %), the most frequent being the inclusion of a question in the title (seen in 30.9 % of the papers), followed by vague and imprecise expressions (17.8 %), acronyms (16.4 %) and double meanings (14 %). Many titles fail to comply with the conventions of scientific writing. A descriptive title accurately reflecting the content of an article would give readers a better idea of its content, help them to decide more rapidly whether they want to read it and facilitate retrieval from bibliographic databases.
Keywords: Research articles; Accuracy of titles; Writing style; Bibliometrics; Biomedical journals (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-014-1296-5 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:101:y:2014:i:1:d:10.1007_s11192-014-1296-5
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-014-1296-5
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 ().