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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2469-7 |
| Pubmed ID | |
| Authors |
Atlas Khan, Qian Liu, Kai Wang |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
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 > Master | 8 | 13% |
| Researcher | 8 | 13% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Doctoral Student | 5 | 8% |
| Other | 5 | 8% |
| Other | 7 | 11% |
| Unknown | 23 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 19% |
| Computer Science | 7 | 11% |
| Medicine and Dentistry | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Neuroscience | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 25 | 39% |
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 06 May 2021.
All research outputs
#4,904,508
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#1,853
of 7,418 outputs
Outputs of similar age
#109,242
of 440,071 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 213 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 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 440,071 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 74% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.