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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants
|
|---|---|
| Published in |
Nature, November 2012
|
| DOI | 10.1038/nature11690 |
| Pubmed ID | |
| Authors |
Wenqing Fu, Timothy D. O’Connor, Goo Jun, Hyun Min Kang, Goncalo Abecasis, Suzanne M. Leal, Stacey Gabriel, Mark J. Rieder, David Altshuler, Jay Shendure, Deborah A. Nickerson, Michael J. Bamshad, NHLBI Exome Sequencing Project, Joshua M. Akey |
X Demographics
The data shown below were collected from the profiles of 274 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 58 | 21% |
| United States | 23 | 8% |
| Spain | 7 | 3% |
| United Kingdom | 6 | 2% |
| France | 4 | 1% |
| Netherlands | 3 | 1% |
| Saudi Arabia | 3 | 1% |
| Australia | 2 | <1% |
| Canada | 2 | <1% |
| Other | 14 | 5% |
| Unknown | 152 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 225 | 82% |
| Scientists | 43 | 16% |
| Practitioners (doctors, other healthcare professionals) | 5 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,067 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 29 | 3% |
| United Kingdom | 14 | 1% |
| Netherlands | 7 | <1% |
| Germany | 6 | <1% |
| Spain | 6 | <1% |
| Italy | 6 | <1% |
| Brazil | 5 | <1% |
| Korea, Republic of | 3 | <1% |
| Switzerland | 3 | <1% |
| Other | 31 | 3% |
| Unknown | 957 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 274 | 26% |
| Researcher | 265 | 25% |
| Student > Master | 89 | 8% |
| Student > Bachelor | 76 | 7% |
| Professor | 62 | 6% |
| Other | 193 | 18% |
| Unknown | 108 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 507 | 48% |
| Biochemistry, Genetics and Molecular Biology | 210 | 20% |
| Medicine and Dentistry | 95 | 9% |
| Computer Science | 38 | 4% |
| Mathematics | 13 | 1% |
| Other | 71 | 7% |
| Unknown | 133 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 349. 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 22 April 2024.
All research outputs
#94,685
of 25,765,370 outputs
Outputs from Nature
#6,601
of 98,691 outputs
Outputs of similar age
#467
of 288,165 outputs
Outputs of similar age from Nature
#29
of 984 outputs
Altmetric has tracked 25,765,370 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 98,691 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done particularly well, scoring higher than 93% 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 288,165 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 984 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.