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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LittleBrain: A gradient-based tool for the topographical interpretation of cerebellar neuroimaging findings
|
|---|---|
| Published in |
PLOS ONE, January 2019
|
| DOI | 10.1371/journal.pone.0210028 |
| Pubmed ID | |
| Authors |
Xavier Guell, Mathias Goncalves, Jakub R. Kaczmarzyk, John D. E. Gabrieli, Jeremy D. Schmahmann, Satrajit S. Ghosh |
X Demographics
The data shown below were collected from the profiles of 11 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 | 27% |
| United Kingdom | 2 | 18% |
| Australia | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 19% |
| Researcher | 10 | 16% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 4 | 6% |
| Professor | 4 | 6% |
| Other | 15 | 23% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 21 | 33% |
| Psychology | 9 | 14% |
| Medicine and Dentistry | 7 | 11% |
| Computer Science | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 23 January 2019.
All research outputs
#4,673,580
of 23,577,761 outputs
Outputs from PLOS ONE
#68,126
of 202,084 outputs
Outputs of similar age
#105,993
of 440,963 outputs
Outputs of similar age from PLOS ONE
#1,006
of 3,131 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 66% 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 440,963 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 75% of its contemporaries.
We're also able to compare this research output to 3,131 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 67% of its contemporaries.