Title |
A scoping review of simulation models of peer review
|
---|---|
Published in |
Scientometrics, August 2019
|
DOI | 10.1007/s11192-019-03205-w |
Pubmed ID | |
Authors |
Thomas Feliciani, Junwen Luo, Lai Ma, Pablo Lucas, Flaminio Squazzoni, Ana Marušić, Kalpana Shankar |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 12% |
Ireland | 2 | 8% |
Colombia | 1 | 4% |
Australia | 1 | 4% |
Indonesia | 1 | 4% |
Denmark | 1 | 4% |
Taiwan | 1 | 4% |
United States | 1 | 4% |
Switzerland | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 65% |
Scientists | 7 | 27% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 14% |
Student > Master | 7 | 12% |
Other | 5 | 9% |
Student > Ph. D. Student | 5 | 9% |
Student > Bachelor | 5 | 9% |
Other | 15 | 26% |
Unknown | 12 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 10 | 18% |
Computer Science | 5 | 9% |
Engineering | 5 | 9% |
Medicine and Dentistry | 4 | 7% |
Business, Management and Accounting | 3 | 5% |
Other | 15 | 26% |
Unknown | 15 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 November 2019.
All research outputs
#2,422,350
of 25,159,758 outputs
Outputs from Scientometrics
#490
of 2,876 outputs
Outputs of similar age
#48,157
of 348,798 outputs
Outputs of similar age from Scientometrics
#5
of 43 outputs
Altmetric has tracked 25,159,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,876 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,798 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.