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X Demographics
Mendeley readers
Attention Score in Context
Title |
Re-analysis of whole-exome sequencing data uncovers novel diagnostic variants and improves molecular diagnostic yields for sudden death and idiopathic diseases
|
---|---|
Published in |
Genome Medicine, December 2019
|
DOI | 10.1186/s13073-019-0702-2 |
Pubmed ID | |
Authors |
Elias L. Salfati, Emily G. Spencer, Sarah E. Topol, Evan D. Muse, Manuel Rueda, Jonathan R. Lucas, Glenn N. Wagner, Steven Campman, Eric J. Topol, Ali Torkamani |
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 | 5 | 26% |
United States | 3 | 16% |
Israel | 3 | 16% |
Spain | 1 | 5% |
Unknown | 7 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 53% |
Scientists | 5 | 26% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 101 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 18% |
Student > Master | 12 | 12% |
Student > Ph. D. Student | 11 | 11% |
Student > Doctoral Student | 6 | 6% |
Other | 5 | 5% |
Other | 13 | 13% |
Unknown | 36 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 33 | 33% |
Medicine and Dentistry | 13 | 13% |
Computer Science | 4 | 4% |
Agricultural and Biological Sciences | 3 | 3% |
Nursing and Health Professions | 2 | 2% |
Other | 8 | 8% |
Unknown | 38 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 January 2020.
All research outputs
#2,593,400
of 23,182,015 outputs
Outputs from Genome Medicine
#587
of 1,452 outputs
Outputs of similar age
#58,803
of 430,755 outputs
Outputs of similar age from Genome Medicine
#20
of 34 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has gotten more attention than average, scoring higher than 59% 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 430,755 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 34 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.