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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder
|
|---|---|
| Published in |
Frontiers in Genetics, February 2021
|
| DOI | 10.3389/fgene.2021.618277 |
| Pubmed ID | |
| Authors |
Mateusz Garbulowski, Karolina Smolinska, Klev Diamanti, Gang Pan, Khurram Maqbool, Lars Feuk, Jan Komorowski |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Student > Bachelor | 6 | 18% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 15% |
| Medicine and Dentistry | 4 | 12% |
| Psychology | 4 | 12% |
| Neuroscience | 3 | 9% |
| Arts and Humanities | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 12 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 March 2021.
All research outputs
#14,409,159
of 25,410,626 outputs
Outputs from Frontiers in Genetics
#2,962
of 13,706 outputs
Outputs of similar age
#207,017
of 450,789 outputs
Outputs of similar age from Frontiers in Genetics
#121
of 551 outputs
Altmetric has tracked 25,410,626 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,706 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 77% 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 450,789 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 551 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.