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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated recognition of spontaneous facial expression in individuals with autism spectrum disorder: parsing response variability
|
|---|---|
| Published in |
Molecular Autism, May 2020
|
| DOI | 10.1186/s13229-020-00327-4 |
| Pubmed ID | |
| Authors |
Abigail Bangerter, Meenakshi Chatterjee, Joseph Manfredonia, Nikolay V. Manyakov, Seth Ness, Matthew A. Boice, Andrew Skalkin, Matthew S. Goodwin, Geraldine Dawson, Robert Hendren, Bennett Leventhal, Frederick Shic, Gahan Pandina |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 25% |
| Canada | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 13% |
| Researcher | 12 | 12% |
| Student > Ph. D. Student | 9 | 9% |
| Student > Master | 8 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 47 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 17% |
| Neuroscience | 7 | 7% |
| Social Sciences | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 13 | 13% |
| Unknown | 48 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 May 2020.
All research outputs
#3,083,591
of 24,592,508 outputs
Outputs from Molecular Autism
#281
of 703 outputs
Outputs of similar age
#74,514
of 388,567 outputs
Outputs of similar age from Molecular Autism
#13
of 33 outputs
Altmetric has tracked 24,592,508 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 703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.4. This one has gotten more attention than average, scoring higher than 60% 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 388,567 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 33 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 63% of its contemporaries.