| Title |
InterVar: Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines
|
|---|---|
| Published in |
American Journal of Human Genetics, January 2017
|
| DOI | 10.1016/j.ajhg.2017.01.004 |
| Pubmed ID | |
| Authors |
Quan Li, Kai Wang |
X Demographics
The data shown below were collected from the profiles of 19 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 Kingdom | 3 | 16% |
| United States | 3 | 16% |
| Italy | 2 | 11% |
| Israel | 1 | 5% |
| Japan | 1 | 5% |
| Colombia | 1 | 5% |
| Canada | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 8 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 663 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 658 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 139 | 21% |
| Student > Ph. D. Student | 106 | 16% |
| Student > Master | 73 | 11% |
| Student > Bachelor | 52 | 8% |
| Other | 48 | 7% |
| Other | 104 | 16% |
| Unknown | 141 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 208 | 31% |
| Agricultural and Biological Sciences | 105 | 16% |
| Medicine and Dentistry | 101 | 15% |
| Computer Science | 21 | 3% |
| Neuroscience | 13 | 2% |
| Other | 52 | 8% |
| Unknown | 163 | 25% |
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 June 2023.
All research outputs
#2,458,615
of 25,837,817 outputs
Outputs from American Journal of Human Genetics
#1,336
of 5,955 outputs
Outputs of similar age
#48,347
of 428,724 outputs
Outputs of similar age from American Journal of Human Genetics
#26
of 50 outputs
Altmetric has tracked 25,837,817 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 5,955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done well, scoring higher than 77% 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 428,724 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 88% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.