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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, May 2019
|
| DOI | 10.3389/fninf.2019.00029 |
| Pubmed ID | |
| Authors |
Anisha Keshavan, Jason D. Yeatman, Ariel Rokem |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 50% |
| United Kingdom | 1 | 8% |
| Denmark | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 6 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 33% |
| Student > Master | 13 | 15% |
| Researcher | 9 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 19% |
| Computer Science | 15 | 17% |
| Medicine and Dentistry | 6 | 7% |
| Neuroscience | 4 | 5% |
| Psychology | 4 | 5% |
| Other | 18 | 21% |
| Unknown | 23 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 September 2021.
All research outputs
#4,741,852
of 26,018,952 outputs
Outputs from Frontiers in Neuroinformatics
#222
of 849 outputs
Outputs of similar age
#87,846
of 367,204 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#4
of 20 outputs
Altmetric has tracked 26,018,952 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 73% 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 367,204 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 76% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.