EconPapers    
Economics at your fingertips  
 

Mathematical model of delay in the secondary literature publishing process

Guang Yu (), Yihong Rong and Yijun Li
Additional contact information
Guang Yu: Harbin Institute of Technology No.92
Yihong Rong: Capital Normal University
Yijun Li: Harbin Institute of Technology No.92

Scientometrics, 2003, vol. 58, issue 3, No 13, 673-685

Abstract: Abstract In this paper, the internal law of delay in the secondary literature publishing process is presented. The process is demonstrated to abide by the partial differential equation of periodical literature publishing process. A definite solution of the publishing delay process is derived. Accordingly, the expression of average publication delay indicator based on the particular solution is deduced. Then the problem is studied that some information of primary literatures is missed in information retrieval, and the relationship is established between the average delay indicator and the miss ratio of primary literatures in the index periodicals or databases. Also it is proposed that the primary literature should be used as a supplemental tool in information retrieval to guarantee the recall ratio.

Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1023/B:SCIE.0000006887.31509.7a 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:58:y:2003:i:3:d:10.1023_b:scie.0000006887.31509.7a

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

DOI: 10.1023/B:SCIE.0000006887.31509.7a

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:58:y:2003:i:3:d:10.1023_b:scie.0000006887.31509.7a