In theory, the web has the potential to provide information about the wider impact of academic research, beyond traditional scholarly impact. This is because the web can reflect non-scholarly uses of research, such as in online government documents, press coverage or public discussions. Nevertheless, there are practical problems with creating metrics for journals based on web data: principally that most such metrics should be easy for journal editors or publishers to manipulate. Nevertheless, two alternatives seem to have both promise and value: citations derived from digitised books and download counts for journals within specific delivery platforms.
%0 Journal Article
%1 thelwall2012journal
%A Thelwall, Mike
%D 2012 (in press)
%I Akadémiai Kiadó, co-published with Springer Science+Business Media B.V., Formerly Kluwer Academic Publishers B.V.
%J Scientometrics
%K impact journal scientometrics webometrics
%P 1-13
%R 10.1007/s11192-012-0669-x
%T Journal impact evaluation: a webometric perspective
%U http://dx.doi.org/10.1007/s11192-012-0669-x
%X In theory, the web has the potential to provide information about the wider impact of academic research, beyond traditional scholarly impact. This is because the web can reflect non-scholarly uses of research, such as in online government documents, press coverage or public discussions. Nevertheless, there are practical problems with creating metrics for journals based on web data: principally that most such metrics should be easy for journal editors or publishers to manipulate. Nevertheless, two alternatives seem to have both promise and value: citations derived from digitised books and download counts for journals within specific delivery platforms.
@article{thelwall2012journal,
abstract = {In theory, the web has the potential to provide information about the wider impact of academic research, beyond traditional scholarly impact. This is because the web can reflect non-scholarly uses of research, such as in online government documents, press coverage or public discussions. Nevertheless, there are practical problems with creating metrics for journals based on web data: principally that most such metrics should be easy for journal editors or publishers to manipulate. Nevertheless, two alternatives seem to have both promise and value: citations derived from digitised books and download counts for journals within specific delivery platforms.},
added-at = {2012-03-19T12:17:18.000+0100},
affiliation = {Statistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton, WV1 1LY UK},
author = {Thelwall, Mike},
biburl = {https://www.bibsonomy.org/bibtex/26b4cb7c71daddfe80cce4f7d75fe11d6/sdo},
description = {Scientometrics, Online First™ - SpringerLink},
doi = {10.1007/s11192-012-0669-x},
interhash = {834707cf0663109f7811a14ae746be72},
intrahash = {6b4cb7c71daddfe80cce4f7d75fe11d6},
issn = {0138-9130},
journal = {Scientometrics},
keyword = {Computer Science},
keywords = {impact journal scientometrics webometrics},
pages = {1-13},
publisher = {Akadémiai Kiadó, co-published with Springer Science+Business Media B.V., Formerly Kluwer Academic Publishers B.V.},
timestamp = {2012-03-19T12:19:56.000+0100},
title = {Journal impact evaluation: a webometric perspective},
url = {http://dx.doi.org/10.1007/s11192-012-0669-x},
year = {2012 (in press)}
}