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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases
|
|---|---|
| Published in |
Genome Medicine, October 2021
|
| DOI | 10.1186/s13073-021-00965-0 |
| Pubmed ID | |
| Authors |
Francisco M. De La Vega, Shimul Chowdhury, Barry Moore, Erwin Frise, Jeanette McCarthy, Edgar Javier Hernandez, Terence Wong, Kiely James, Lucia Guidugli, Pankaj B. Agrawal, Casie A. Genetti, Catherine A. Brownstein, Alan H. Beggs, Britt-Sabina Löscher, Andre Franke, Braden Boone, Shawn E. Levy, Katrin Õunap, Sander Pajusalu, Matt Huentelman, Keri Ramsey, Marcus Naymik, Vinodh Narayanan, Narayanan Veeraraghavan, Paul Billings, Martin G. Reese, Mark Yandell, Stephen F. Kingsmore |
X Demographics
The data shown below were collected from the profiles of 103 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 | 32 | 31% |
| Spain | 5 | 5% |
| United Kingdom | 5 | 5% |
| Singapore | 4 | 4% |
| France | 4 | 4% |
| Germany | 2 | 2% |
| Belarus | 1 | <1% |
| Sweden | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 8 | 8% |
| Unknown | 40 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 67 | 65% |
| Scientists | 28 | 27% |
| Practitioners (doctors, other healthcare professionals) | 7 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 133 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 10% |
| Student > Ph. D. Student | 12 | 9% |
| Student > Master | 12 | 9% |
| Student > Bachelor | 10 | 8% |
| Student > Doctoral Student | 9 | 7% |
| Other | 24 | 18% |
| Unknown | 53 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 26% |
| Medicine and Dentistry | 19 | 14% |
| Computer Science | 4 | 3% |
| Agricultural and Biological Sciences | 4 | 3% |
| Unspecified | 3 | 2% |
| Other | 13 | 10% |
| Unknown | 56 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 448. 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 31 January 2024.
All research outputs
#63,293
of 25,743,152 outputs
Outputs from Genome Medicine
#17
of 1,611 outputs
Outputs of similar age
#1,789
of 439,849 outputs
Outputs of similar age from Genome Medicine
#1
of 47 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done particularly well, scoring higher than 98% 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 439,849 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.