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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Quick Guide to Software Licensing for the Scientist-Programmer
|
|---|---|
| Published in |
PLoS Computational Biology, July 2012
|
| DOI | 10.1371/journal.pcbi.1002598 |
| Pubmed ID | |
| Authors |
Andrew Morin, Jennifer Urban, Piotr Sliz |
X Demographics
The data shown below were collected from the profiles of 131 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 States | 30 | 23% |
| United Kingdom | 15 | 11% |
| Canada | 6 | 5% |
| France | 5 | 4% |
| Australia | 5 | 4% |
| Germany | 4 | 3% |
| Finland | 3 | 2% |
| Spain | 3 | 2% |
| Japan | 3 | 2% |
| Other | 16 | 12% |
| Unknown | 41 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 83 | 63% |
| Scientists | 42 | 32% |
| Science communicators (journalists, bloggers, editors) | 6 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 426 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 27 | 6% |
| Germany | 12 | 3% |
| United Kingdom | 11 | 3% |
| Spain | 5 | 1% |
| Netherlands | 4 | <1% |
| France | 4 | <1% |
| Japan | 4 | <1% |
| Brazil | 4 | <1% |
| Sweden | 3 | <1% |
| Other | 21 | 5% |
| Unknown | 331 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 141 | 33% |
| Student > Ph. D. Student | 83 | 19% |
| Student > Master | 31 | 7% |
| Student > Bachelor | 27 | 6% |
| Professor > Associate Professor | 26 | 6% |
| Other | 76 | 18% |
| Unknown | 42 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 139 | 33% |
| Computer Science | 49 | 12% |
| Biochemistry, Genetics and Molecular Biology | 34 | 8% |
| Engineering | 25 | 6% |
| Chemistry | 14 | 3% |
| Other | 101 | 24% |
| Unknown | 64 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 130. 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 08 June 2023.
All research outputs
#326,185
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#218
of 9,038 outputs
Outputs of similar age
#1,502
of 182,944 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 110 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,038 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 97% 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 182,944 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 98% of its contemporaries.
We're also able to compare this research output to 110 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 99% of its contemporaries.