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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Keeping up with the genomes: scaling genomic variant interpretation
|
|---|---|
| Published in |
Genome Medicine, December 2019
|
| DOI | 10.1186/s13073-019-0700-4 |
| Pubmed ID | |
| Authors |
Heidi L. Rehm, Douglas M. Fowler |
X Demographics
The data shown below were collected from the profiles of 57 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 | 17 | 30% |
| United Kingdom | 7 | 12% |
| Australia | 3 | 5% |
| Ireland | 2 | 4% |
| Spain | 2 | 4% |
| Israel | 1 | 2% |
| Hong Kong | 1 | 2% |
| Poland | 1 | 2% |
| Netherlands | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 18 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 29 | 51% |
| Members of the public | 20 | 35% |
| Practitioners (doctors, other healthcare professionals) | 4 | 7% |
| Science communicators (journalists, bloggers, editors) | 4 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 9 | 18% |
| Researcher | 6 | 12% |
| Other | 3 | 6% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 35% |
| Agricultural and Biological Sciences | 8 | 16% |
| Medicine and Dentistry | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Psychology | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 15 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 15 May 2020.
All research outputs
#1,215,396
of 25,807,758 outputs
Outputs from Genome Medicine
#240
of 1,617 outputs
Outputs of similar age
#29,485
of 480,021 outputs
Outputs of similar age from Genome Medicine
#8
of 32 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,617 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has done well, scoring higher than 85% 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 480,021 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 93% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.