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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework
|
|---|---|
| Published in |
Genome Medicine, December 2019
|
| DOI | 10.1186/s13073-019-0690-2 |
| Pubmed ID | |
| Authors |
Sarah E. Brnich, Ahmad N. Abou Tayoun, Fergus J. Couch, Garry R. Cutting, Marc S. Greenblatt, Christopher D. Heinen, Dona M. Kanavy, Xi Luo, Shannon M. McNulty, Lea M. Starita, Sean V. Tavtigian, Matt W. Wright, Steven M. Harrison, Leslie G. Biesecker, Jonathan S. Berg |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 259 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 19% |
| Student > Ph. D. Student | 32 | 12% |
| Other | 21 | 8% |
| Student > Master | 21 | 8% |
| Student > Doctoral Student | 12 | 5% |
| Other | 34 | 13% |
| Unknown | 90 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 90 | 35% |
| Medicine and Dentistry | 23 | 9% |
| Agricultural and Biological Sciences | 23 | 9% |
| Immunology and Microbiology | 4 | 2% |
| Physics and Astronomy | 3 | 1% |
| Other | 18 | 7% |
| Unknown | 98 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 28 March 2024.
All research outputs
#2,727,480
of 25,947,988 outputs
Outputs from Genome Medicine
#618
of 1,622 outputs
Outputs of similar age
#64,105
of 480,075 outputs
Outputs of similar age from Genome Medicine
#18
of 32 outputs
Altmetric has tracked 25,947,988 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,622 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has gotten more attention than average, scoring higher than 61% 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 480,075 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 86% 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 is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.