| Literature DB >> 33002102 |
.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 33002102 PMCID: PMC7062516 DOI: 10.1084/jem.20200291
Source DB: PubMed Journal: J Exp Med ISSN: 0022-1007 Impact factor: 14.307
Figure 1.Methodology for gender analysis. We downloaded data for all original primary research papers submitted to JEM from January 2018 through December 2018 and extracted the following information: Outcome of submissions (editorially rejected, rejected post-review, invited post-review); and the names of the CAs. We ran the CAs’ names through an algorithm (Namsor) that assigns gender to names. The algorithm used assigns gender to Western and Asian names with an 20% margin of error. To overcome the limitation of the algorithm and provide a more accurate analysis, genders were then manually checked and confirmed.