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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
|
|---|---|
| Published in |
BMC Psychiatry, February 2020
|
| DOI | 10.1186/s12888-020-02503-5 |
| Pubmed ID | |
| Authors |
Sameer Sardaar, Bill Qi, Alexandre Dionne-Laporte, Guy. A. Rouleau, Reihaneh Rabbany, Yannis J. Trakadis |
X Demographics
The data shown below were collected from the profiles of 24 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 | 5 | 21% |
| Netherlands | 1 | 4% |
| United Kingdom | 1 | 4% |
| Cameroon | 1 | 4% |
| United Arab Emirates | 1 | 4% |
| Sri Lanka | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Switzerland | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 92% |
| Scientists | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 9 | 14% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 5 | 8% |
| Other | 13 | 20% |
| Unknown | 18 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Medicine and Dentistry | 10 | 15% |
| Computer Science | 5 | 8% |
| Psychology | 5 | 8% |
| Unspecified | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 24 | 36% |
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 11 March 2020.
All research outputs
#2,985,753
of 23,885,338 outputs
Outputs from BMC Psychiatry
#1,127
of 4,997 outputs
Outputs of similar age
#65,020
of 362,000 outputs
Outputs of similar age from BMC Psychiatry
#26
of 118 outputs
Altmetric has tracked 23,885,338 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 4,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. 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 362,000 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 81% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.