EconPapers    
Economics at your fingertips  
 

A decision model for technical journal deselection with an experiment in biomedical communications

Victor A. Triolo and Dachun Bao

Journal of the American Society for Information Science, 1993, vol. 44, issue 3, 148-160

Abstract: This report proposes a paradigm for technical journal deselection based on the Bradford Law of distribution, with a demonstration in biomedical communications illustrating various statistical derivations. The model employs the following operational prescriptives: (1) identification of fractional productivities in journal collections; (2) probability predictions for making successful retrievals of relevant items in any given productive fraction; (3) utilization by journal source language and origin; and (4) estimates of cost‐efficiencies of searches made in print and machine‐readable versions of serial publications. The results suggest that in approximately two out of three trials successful searches (“hits”) are likely to be made in a “critical” core of any technical subject collection. The highest probability for retention resides in this portion, about 20% of the publications. We infer that substantial amounts of the remaining publications are candidates for deselection since their information content, as needed, may be captured more cost‐effectively through electronic retrieval and document delivery access. © 1993 John Wiley & Sons, Inc.

Date: 1993
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/(SICI)1097-4571(199304)44:33.0.CO;2-T

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:bla:jamest:v:44:y:1993:i:3:p:148-160

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1097-4571

Access Statistics for this article

More articles in Journal of the American Society for Information Science from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jamest:v:44:y:1993:i:3:p:148-160