Year: 2016
Type: article
Abstract: Many scientists attempt to publish their work in a journal with the highest possible journal impact factor (IF). Despite widespread condemnation of the use of journal IFs to assess the significance of published work, these numbers continue to be widely misused in publication, hiring, funding, and promotion decisions (1, 2).
Source: mSystems
Authors: Arturo Casadevall, Stefano Bertuzzi, Michael J. Buchmeier, Roger J. Davis, Harold Drake, Ferric C. Fang, Jack Gilbert, Barbara M. Goldman, Michael J. Imperiale, Philip Matsumura, Alexander J. McAdam, Marcela F. Pasetti, Rozanne M. Sandri-Goldin, Thomas Silhavy, Louis Rice, Jo-Anne H. Young, Thomas Shenk
Institutions: Johns Hopkins University, American Society for Microbiology, University of California, Irvine, Howard Hughes Medical Institute, University of Massachusetts Chan Medical School, University of Bayreuth, University of Washington, University of Chicago, University of Michigan, University of Illinois Chicago, Boston Children's Hospital, Harvard University, University of Maryland, Baltimore, Princeton University, Brown University, University of Minnesota
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,500
OpenAlex ID: W3025310535