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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical application of whole-exome sequencing across clinical indications
|
|---|---|
| Published in |
Genetics in Medicine, December 2015
|
| DOI | 10.1038/gim.2015.148 |
| Pubmed ID | |
| Authors |
Kyle Retterer, Jane Juusola, Megan T. Cho, Patrik Vitazka, Francisca Millan, Federica Gibellini, Annette Vertino-Bell, Nizar Smaoui, Julie Neidich, Kristin G. Monaghan, Dianalee McKnight, Renkui Bai, Sharon Suchy, Bethany Friedman, Jackie Tahiliani, Daniel Pineda-Alvarez, Gabriele Richard, Tracy Brandt, Eden Haverfield, Wendy K. Chung, Sherri Bale |
X Demographics
The data shown below were collected from the profiles of 40 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 | 12 | 30% |
| United Kingdom | 4 | 10% |
| New Zealand | 1 | 3% |
| France | 1 | 3% |
| Turkey | 1 | 3% |
| Netherlands | 1 | 3% |
| Qatar | 1 | 3% |
| Israel | 1 | 3% |
| Australia | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 14 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 68% |
| Scientists | 11 | 28% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 654 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 650 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 101 | 15% |
| Student > Master | 82 | 13% |
| Student > Ph. D. Student | 81 | 12% |
| Student > Bachelor | 61 | 9% |
| Other | 50 | 8% |
| Other | 96 | 15% |
| Unknown | 183 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 182 | 28% |
| Medicine and Dentistry | 133 | 20% |
| Agricultural and Biological Sciences | 60 | 9% |
| Neuroscience | 23 | 4% |
| Unspecified | 10 | 2% |
| Other | 43 | 7% |
| Unknown | 203 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 26 February 2020.
All research outputs
#901,397
of 26,017,215 outputs
Outputs from Genetics in Medicine
#258
of 2,978 outputs
Outputs of similar age
#14,848
of 401,286 outputs
Outputs of similar age from Genetics in Medicine
#6
of 48 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 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done particularly well, scoring higher than 91% 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 401,286 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 96% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.