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X Demographics
Mendeley readers
Attention Score in Context
Title |
Ten Simple Rules for Running Interactive Workshops
|
---|---|
Published in |
PLoS Computational Biology, February 2014
|
DOI | 10.1371/journal.pcbi.1003485 |
Pubmed ID | |
Authors |
Katrina Pavelin, Sangya Pundir, Jennifer A. Cham |
X Demographics
The data shown below were collected from the profiles of 59 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 | 11 | 19% |
United States | 8 | 14% |
Canada | 4 | 7% |
India | 2 | 3% |
Germany | 2 | 3% |
France | 2 | 3% |
Ireland | 2 | 3% |
Bosnia and Herzegovina | 1 | 2% |
Spain | 1 | 2% |
Other | 8 | 14% |
Unknown | 18 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 53% |
Scientists | 26 | 44% |
Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Netherlands | 2 | <1% |
Indonesia | 1 | <1% |
France | 1 | <1% |
Colombia | 1 | <1% |
Italy | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Korea, Republic of | 1 | <1% |
Other | 4 | 2% |
Unknown | 186 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 20% |
Researcher | 41 | 20% |
Student > Master | 22 | 11% |
Professor | 11 | 5% |
Student > Bachelor | 11 | 5% |
Other | 34 | 17% |
Unknown | 43 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 49 | 24% |
Environmental Science | 15 | 7% |
Engineering | 13 | 6% |
Biochemistry, Genetics and Molecular Biology | 10 | 5% |
Psychology | 10 | 5% |
Other | 54 | 27% |
Unknown | 52 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 29 June 2022.
All research outputs
#995,366
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#774
of 8,960 outputs
Outputs of similar age
#9,674
of 235,870 outputs
Outputs of similar age from PLoS Computational Biology
#15
of 135 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 91% 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 235,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.