Title: Data for Editorial on multiyear reviewer statistics from JGR Space Physics Open Access Deposited
|Other Funding agency|
|Citations to related material|
(2020). Data for Editorial on multiyear reviewer statistics from JGR Space Physics [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/vs1j-zk26
Files (Count: 4; Size: 40.2 KB)
|Thumbnail||Title||Original Upload||Last Modified||File Size||Access||Actions|
|Liemohn_Editorial_Deep_Blue_Data...e.txt||2020-02-01||2020-02-19||2.29 KB||Open Access||
|Reviewer_stats_multiyear.xlsx||2020-02-19||2020-02-19||32 KB||Open Access||
|Reviewer_stats_multiyear.csv||2020-02-19||2020-02-19||2.3 KB||Open Access||
|Reviewer_stats_multiyear.prn||2020-02-19||2020-02-19||3.59 KB||Open Access||
Date: 31 January, 2020
Title: Editorial: Multiyear analysis of JGR Space Physics reviewing statistics
Authors: Michael W. Liemohn
Contact: Mike Liemohn firstname.lastname@example.org
Funding support: American Geophysical Union
- 1,366 scientists submitted 3,209 reviews on 1,054 unique manuscripts in 2018, the latest year for which numbers are fully compiled.
- Statistics for 2018 are compared against those from the previous 5 years, revealing temporal trends in reviewing metrics.
- While some fluctuations exist, the values reveal consistency in both the editorial process and reviewer compliance across the years.
The editorial decision process for the Journal of Geophysics Research Space Physics is assisted by over 1,000 scientists every year, providing over 3,000 reviews per year. These statistics are presented for the years 2013 through 2018, showing some fluctuations but, overall, consistency in the response of the space physics research community to requests to serve as manuscript reviewers. Over half of these reviews are submitted on time, and the average time to review actually dropped as the load increased. This is greatly appreciated and the community is to be commended and thanked for their willingness to help make this journal thrive and remain a premiere publication in the field.
Data for this assessment were pulled from the Geophysical Electronic Manuscript Submission (GEMS) database each February for the previous year. Calculations were conducted in an Excel spreadsheet.
Files contained here:
Reviewer_stats_multiyear: space-delimited text file of the values in Table 1 and Figure 1 of the editorial. Also included are the standard deviations and the Welch's t test results used for the inferential analysis of those values.
The file is provided as an Excel spreadsheet, a CSV file, and a PRN file.
Standard deviations are calculated from the individual values or from Poisson counting statistics. The green-yellow coloring of the Welch's t test scores are only visible in the Excel spreadsheet version.
Some row definitions that might not be self-evident:
Acceptance rate #1: "Reviews Completed" divided by "Total requests to review"
Acceptance rate #2: "Reviews Completed" divided by "Total requests to review" excluding "Not Needed"
Acceptance Rate #3: Arithmetic average of all individual reviewer acceptance rates
Potential reviewer count: total count of people send a request to review that year
Liemohn, M. W. (2020). Editorial: Multiyear analysis of JGR Space Physics reviewing statistics. Journal of Geophysical Research Space Physics, 125, e2019JA027719. https://doi.org/10.1029/2019JA027719
Use and Access:
This data set is made available under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
To Cite Data:
Liemohn, M. W. (2020). Editorial: Multiyear analysis of JGR Space Physics reviewing statistics [Data set]. University of Michigan Deep Blue Data Repository. https:TBD.