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404 not found: the stability and persistence of URLs published in MEDLINE
Author(s): Wren JD
Source: BIOINFORMATICS    Volume: 20    Issue: 5    Pages: 668-U208    Published: MAR 22 2004  
Times Cited: 31     References: 14     
Abstract: Motivation: The advent of the World Wide Web has enabled unprecedented supplementation of traditional journal publications, allowing access to resources, such as video, sound, software, databases, datasets too large to publish, and even supplementary information and discussion. However, unlike traditional publications, continued availability of these online resources is not guaranteed. An automated survey was conducted to quantify the growth in Uniform Resource Locators (URLs) published to date in MEDLINE abstracts, their current availability and distribution by journal.

Results: Of 1630 unique URLs identified, formatting and/or spelling errors were detected within 201 (12%) of them as published. After corrections were made, a survey revealed that similar to63% of these URLs were consistently available, and another 19% were available intermittently. The rate of failure was far worse for anonymous login to FTP sites, with only 12 of 33 sites (36%) responding. This survey also shows that journals vary disproportionately in the number of web citations published, suggesting policy implementation among a few could have a profound impact overall. Out of the 306 journals with a URL published in an abstract, Bioinformatics published the most (12% of total).

Document Type: Article
Language: English
Reprint Address: Wren, JD (reprint author), Univ Oklahoma, Dept Bot & Microbiol, Adv Ctr Genome Technol, 620 Parrington Oval Rm 106, Norman, OK 73019 USA
Addresses:
1. Univ Oklahoma, Dept Bot & Microbiol, Adv Ctr Genome Technol, Norman, OK 73019 USA
Publisher: OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
Subject Category: Biochemical Research Methods; Biotechnology & Applied Microbiology; Computer Science, Interdisciplinary Applications; Mathematical & Computational Biology; Statistics & Probability
IDS Number: 807ER
ISSN: 1367-4803
DOI: 10.1093/bioinformatics/btg465
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