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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Python in neuroscience
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, April 2015
|
| DOI | 10.3389/fninf.2015.00011 |
| Pubmed ID | |
| Authors |
Eilif Muller, James A. Bednar, Markus Diesmann, Marc-Oliver Gewaltig, Michael Hines, Andrew P. Davison |
X Demographics
The data shown below were collected from the profiles of 31 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 | 5 | 16% |
| United Kingdom | 3 | 10% |
| Brazil | 1 | 3% |
| Sweden | 1 | 3% |
| Norway | 1 | 3% |
| Australia | 1 | 3% |
| Argentina | 1 | 3% |
| Japan | 1 | 3% |
| Switzerland | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 11 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 65% |
| Scientists | 8 | 26% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Netherlands | 3 | 1% |
| Brazil | 2 | <1% |
| United States | 2 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 273 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 22% |
| Researcher | 50 | 17% |
| Student > Bachelor | 43 | 15% |
| Student > Master | 41 | 14% |
| Student > Doctoral Student | 18 | 6% |
| Other | 35 | 12% |
| Unknown | 37 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 66 | 23% |
| Computer Science | 43 | 15% |
| Engineering | 35 | 12% |
| Agricultural and Biological Sciences | 34 | 12% |
| Psychology | 24 | 8% |
| Other | 35 | 12% |
| Unknown | 51 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 01 March 2021.
All research outputs
#1,676,717
of 25,805,386 outputs
Outputs from Frontiers in Neuroinformatics
#39
of 847 outputs
Outputs of similar age
#20,764
of 280,166 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 10 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 95% 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 280,166 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 92% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.