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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, May 2020
|
| DOI | 10.3389/fncom.2020.00039 |
| Pubmed ID | |
| Authors |
Frances S. Chance, James B. Aimone, Srideep S. Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang |
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 States | 3 | 15% |
| France | 2 | 10% |
| Canada | 1 | 5% |
| South Africa | 1 | 5% |
| India | 1 | 5% |
| Germany | 1 | 5% |
| Switzerland | 1 | 5% |
| Puerto Rico | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 5 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 23% |
| Student > Master | 9 | 11% |
| Researcher | 8 | 10% |
| Student > Bachelor | 6 | 7% |
| Student > Doctoral Student | 4 | 5% |
| Other | 5 | 6% |
| Unknown | 30 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 21% |
| Neuroscience | 10 | 12% |
| Engineering | 10 | 12% |
| Physics and Astronomy | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Other | 9 | 11% |
| Unknown | 32 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 31 May 2022.
All research outputs
#3,124,394
of 25,750,437 outputs
Outputs from Frontiers in Computational Neuroscience
#126
of 1,475 outputs
Outputs of similar age
#78,976
of 415,737 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 23 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 415,737 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 80% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.