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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lessons learned from additional research analyses of unsolved clinical exome cases
|
|---|---|
| Published in |
Genome Medicine, March 2017
|
| DOI | 10.1186/s13073-017-0412-6 |
| Pubmed ID | |
| Authors |
Mohammad K. Eldomery, Zeynep Coban-Akdemir, Tamar Harel, Jill A. Rosenfeld, Tomasz Gambin, Asbjørg Stray-Pedersen, Sébastien Küry, Sandra Mercier, Davor Lessel, Jonas Denecke, Wojciech Wiszniewski, Samantha Penney, Pengfei Liu, Weimin Bi, Seema R. Lalani, Christian P. Schaaf, Michael F. Wangler, Carlos A. Bacino, Richard Alan Lewis, Lorraine Potocki, Brett H. Graham, John W. Belmont, Fernando Scaglia, Jordan S. Orange, Shalini N. Jhangiani, Theodore Chiang, Harsha Doddapaneni, Jianhong Hu, Donna M. Muzny, Fan Xia, Arthur L. Beaudet, Eric Boerwinkle, Christine M. Eng, Sharon E. Plon, V. Reid Sutton, Richard A. Gibbs, Jennifer E. Posey, Yaping Yang, James R. Lupski |
X Demographics
The data shown below were collected from the profiles of 18 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 | 8 | 44% |
| United Kingdom | 3 | 17% |
| Netherlands | 1 | 6% |
| Russia | 1 | 6% |
| France | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| Unknown | 3 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 50% |
| Members of the public | 7 | 39% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 248 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 58 | 23% |
| Student > Ph. D. Student | 42 | 17% |
| Student > Master | 26 | 10% |
| Other | 18 | 7% |
| Student > Doctoral Student | 16 | 6% |
| Other | 47 | 19% |
| Unknown | 41 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 93 | 38% |
| Medicine and Dentistry | 40 | 16% |
| Agricultural and Biological Sciences | 24 | 10% |
| Neuroscience | 11 | 4% |
| Computer Science | 6 | 2% |
| Other | 22 | 9% |
| Unknown | 52 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 October 2019.
All research outputs
#2,491,924
of 26,017,215 outputs
Outputs from Genome Medicine
#562
of 1,612 outputs
Outputs of similar age
#45,032
of 327,080 outputs
Outputs of similar age from Genome Medicine
#13
of 29 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 64% 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 327,080 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 85% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.