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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Taming the genome: towards better genetic test interpretation
|
|---|---|
| Published in |
Genome Medicine, June 2016
|
| DOI | 10.1186/s13073-016-0325-9 |
| Pubmed ID | |
| Authors |
Colleen Caleshu, Euan A. Ashley |
| Abstract |
Advances in sequencing technology have taught us much about the human genome, including how difficult it is to interpret rare variation. Improvements in genetic test interpretation are likely to come through data sharing, international collaborative efforts to develop disease-gene specific guidelines, and computational analyses using big data. |
X Demographics
The data shown below were collected from the profiles of 66 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 | 19 | 29% |
| United Kingdom | 11 | 17% |
| Canada | 4 | 6% |
| Australia | 3 | 5% |
| Mexico | 2 | 3% |
| Curaçao | 1 | 2% |
| Russia | 1 | 2% |
| France | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 6 | 9% |
| Unknown | 17 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 34 | 52% |
| Members of the public | 26 | 39% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 39% |
| Other | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Master | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 29% |
| Medicine and Dentistry | 7 | 25% |
| Agricultural and Biological Sciences | 5 | 18% |
| Computer Science | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 3 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 02 March 2017.
All research outputs
#1,103,132
of 25,374,917 outputs
Outputs from Genome Medicine
#216
of 1,585 outputs
Outputs of similar age
#21,001
of 369,944 outputs
Outputs of similar age from Genome Medicine
#9
of 27 outputs
Altmetric has tracked 25,374,917 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 1,585 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 well, scoring higher than 86% 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 369,944 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 94% of its contemporaries.
We're also able to compare this research output to 27 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 66% of its contemporaries.