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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PyGeNN: A Python Library for GPU-Enhanced Neural Networks
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, April 2021
|
| DOI | 10.3389/fninf.2021.659005 |
| Pubmed ID | |
| Authors |
James C. Knight, Anton Komissarov, Thomas Nowotny |
X Demographics
The data shown below were collected from the profiles of 20 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 | 8 | 40% |
| Switzerland | 1 | 5% |
| Belgium | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 90% |
| Scientists | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 18% |
| Computer Science | 7 | 18% |
| Engineering | 4 | 11% |
| Physics and Astronomy | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 11 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 27 October 2022.
All research outputs
#2,649,996
of 25,364,936 outputs
Outputs from Frontiers in Neuroinformatics
#97
of 833 outputs
Outputs of similar age
#68,168
of 452,904 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 14 outputs
Altmetric has tracked 25,364,936 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 833 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 88% 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 452,904 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 84% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.