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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of clinical response to treatment in determining pathogenicity of genomic variants
|
|---|---|
| Published in |
Genetics in Medicine, October 2020
|
| DOI | 10.1038/s41436-020-00996-9 |
| Pubmed ID | |
| Authors |
Joseph J. Shen, Saskia B. Wortmann, Lonneke de Boer, Leo A. J. Kluijtmans, Marleen C. D. G. Huigen, Johannes Koch, Stephanie Ross, Christin D. Collins, Robin van der Lee, Clara D. M. van Karnebeek, Madhuri R. Hegde |
X Demographics
The data shown below were collected from the profiles of 23 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 | 5 | 22% |
| South Africa | 2 | 9% |
| United Kingdom | 1 | 4% |
| India | 1 | 4% |
| Switzerland | 1 | 4% |
| Belgium | 1 | 4% |
| Israel | 1 | 4% |
| France | 1 | 4% |
| Netherlands | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 48% |
| Scientists | 6 | 26% |
| Science communicators (journalists, bloggers, editors) | 3 | 13% |
| Practitioners (doctors, other healthcare professionals) | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Other | 3 | 17% |
| Student > Postgraduate | 2 | 11% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 33% |
| Medicine and Dentistry | 4 | 22% |
| Agricultural and Biological Sciences | 2 | 11% |
| Arts and Humanities | 1 | 6% |
| Unknown | 5 | 28% |
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 15 November 2020.
All research outputs
#2,386,881
of 25,387,668 outputs
Outputs from Genetics in Medicine
#830
of 2,945 outputs
Outputs of similar age
#61,474
of 438,879 outputs
Outputs of similar age from Genetics in Medicine
#26
of 66 outputs
Altmetric has tracked 25,387,668 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 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has gotten more attention than average, scoring higher than 71% 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 438,879 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 66 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 60% of its contemporaries.