| Title |
Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
|
|---|---|
| Published in |
Frontiers in Neuroscience, December 2019
|
| DOI | 10.3389/fnins.2019.01346 |
| Pubmed ID | |
| Authors |
Jean-Marc Fellous, Guillermo Sapiro, Andrew Rossi, Helen Mayberg, Michele Ferrante |
X Demographics
The data shown below were collected from the profiles of 16 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 | 19% |
| Japan | 1 | 6% |
| India | 1 | 6% |
| France | 1 | 6% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 3 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 237 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 237 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 16% |
| Student > Master | 30 | 13% |
| Researcher | 29 | 12% |
| Student > Bachelor | 13 | 5% |
| Other | 11 | 5% |
| Other | 35 | 15% |
| Unknown | 80 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 32 | 14% |
| Computer Science | 30 | 13% |
| Neuroscience | 14 | 6% |
| Psychology | 12 | 5% |
| Medicine and Dentistry | 10 | 4% |
| Other | 49 | 21% |
| Unknown | 90 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 28 December 2019.
All research outputs
#4,285,764
of 25,795,662 outputs
Outputs from Frontiers in Neuroscience
#3,497
of 11,712 outputs
Outputs of similar age
#94,604
of 481,704 outputs
Outputs of similar age from Frontiers in Neuroscience
#91
of 309 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 70% 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 481,704 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 309 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.