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Impact factor statistics and publication practice: What can we learn?
Author(s) -
Taborsky Michael
Publication year - 2007
Publication title -
ethology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.739
H-Index - 74
eISSN - 1439-0310
pISSN - 0179-1613
DOI - 10.1111/j.1439-0310.2007.01329.x
Subject(s) - citation , impact factor , reputation , quality (philosophy) , process (computing) , remedial education , computer science , order (exchange) , statistics , psychology , data science , library science , sociology , political science , mathematics education , social science , mathematics , business , epistemology , law , philosophy , operating system , finance
Peer review procedures and citation statistics are important yet often neglected components of the scientific publication process. Here I discuss fundamental consequences of such quality measures for the scientific community and propose three remedial actions: (1) use of a ‘‘Combined Impact Estimate’’ as a measure of citation statistics, (2) adoption of an open reviewing policy and (3) acceleration of the publication process in order to raise the reputation of the entire discipline (in our case: behavioural science). Authors, reviewers and editors are invited to contribute to the improvement of publication practice.