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.
Описание
Journal impact evaluation: a webometric perspective - Springer
%0 Journal Article
%1 thelwall2012journal
%A Thelwall, Mike
%D 2012
%I Springer Netherlands
%J Scientometrics
%K evaluation impact info20 journal perspective webometric
%N 2
%P 429-441
%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
%V 92
%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 = {2013-02-13T11:36:33.000+0100},
author = {Thelwall, Mike},
biburl = {https://www.bibsonomy.org/bibtex/2284883bbaa636a0bab13fc54b903f363/sdo},
description = {Journal impact evaluation: a webometric perspective - Springer},
doi = {10.1007/s11192-012-0669-x},
interhash = {834707cf0663109f7811a14ae746be72},
intrahash = {284883bbaa636a0bab13fc54b903f363},
issn = {0138-9130},
journal = {Scientometrics},
keywords = {evaluation impact info20 journal perspective webometric},
language = {English},
number = 2,
pages = {429-441},
publisher = {Springer Netherlands},
timestamp = {2013-06-28T16:51:03.000+0200},
title = {Journal impact evaluation: a webometric perspective},
url = {http://dx.doi.org/10.1007/s11192-012-0669-x},
volume = 92,
year = 2012
}