EconPapers    
Economics at your fingertips  
 

A vector for measuring obsolescence of scientific articles

Jianjun Sun, Chao Min and Jiang Li ()
Additional contact information
Jianjun Sun: Nanjing University
Chao Min: Nanjing University
Jiang Li: Zhejiang University

Scientometrics, 2016, vol. 107, issue 2, No 23, 745-757

Abstract: Abstract Diachronous studies of obsolescence categorized articles into three general types: “flashes in the pan”, “sleeping beauties” and “normal articles”. These studies used either quartiles or averages to define thresholds on sleeping and awakening periods. However, such average- and quartile-based criteria, sometimes, are less effective in distinguishing “flashes in the pan” and “sleeping beauties” from normal articles due to the arbitrariness of the manner in which thresholds are determined. In this investigation, we propose a vector for measuring obsolescence of scientific articles as an alternative to these criteria. The obsolescence vector is designed as O = (G s, A −), with G s as a parameter affecting the shape of citation curves and A − as a parameter detecting drastic fluctuation of citation curves. We collected 50,789 articles authored by Nobel laureates during 1900–2012. Applying our criteria to this dataset, we compared the obsolescence vector with average- and quartile-based criteria. Our findings show that the proposed obsolescence vector is different from and serves as an alternative to the average- and quartile-based criteria.

Keywords: Sleeping beauties; Flashes in the pan; Obsolescence; Citation curves; Gini coefficient; Vector (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-1884-7 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:107:y:2016:i:2:d:10.1007_s11192-016-1884-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-016-1884-7

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:107:y:2016:i:2:d:10.1007_s11192-016-1884-7