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X Demographics
Mendeley readers
Attention Score in Context
Title |
Recommendations for the collection and use of multiplexed functional data for clinical variant interpretation
|
---|---|
Published in |
Genome Medicine, December 2019
|
DOI | 10.1186/s13073-019-0698-7 |
Pubmed ID | |
Authors |
Hannah Gelman, Jennifer N. Dines, Jonathan Berg, Alice H. Berger, Sarah Brnich, Fuki M. Hisama, Richard G. James, Alan F. Rubin, Jay Shendure, Brian Shirts, Douglas M. Fowler, Lea M. Starita |
X Demographics
The data shown below were collected from the profiles of 20 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 | 7 | 35% |
United Kingdom | 4 | 20% |
Côte d'Ivoire | 1 | 5% |
Bosnia and Herzegovina | 1 | 5% |
Israel | 1 | 5% |
Canada | 1 | 5% |
Unknown | 5 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 50% |
Members of the public | 9 | 45% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 87 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 24 | 28% |
Researcher | 12 | 14% |
Student > Master | 6 | 7% |
Other | 3 | 3% |
Student > Bachelor | 3 | 3% |
Other | 12 | 14% |
Unknown | 27 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 24 | 28% |
Agricultural and Biological Sciences | 13 | 15% |
Medicine and Dentistry | 7 | 8% |
Engineering | 3 | 3% |
Immunology and Microbiology | 2 | 2% |
Other | 9 | 10% |
Unknown | 29 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 22 August 2023.
All research outputs
#1,961,860
of 25,389,116 outputs
Outputs from Genome Medicine
#438
of 1,581 outputs
Outputs of similar age
#45,641
of 473,955 outputs
Outputs of similar age from Genome Medicine
#14
of 34 outputs
Altmetric has tracked 25,389,116 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,581 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 gotten more attention than average, scoring higher than 72% 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 473,955 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 90% of its contemporaries.
We're also able to compare this research output to 34 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 61% of its contemporaries.