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X Demographics
Mendeley readers
Attention Score in Context
Title |
De novo variants in exomes of congenital heart disease patients identify risk genes and pathways
|
---|---|
Published in |
Genome Medicine, January 2020
|
DOI | 10.1186/s13073-019-0709-8 |
Pubmed ID | |
Authors |
Cigdem Sevim Bayrak, Peng Zhang, Martin Tristani-Firouzi, Bruce D. Gelb, Yuval Itan |
X Demographics
The data shown below were collected from the profiles of 33 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 | 13 | 39% |
United Kingdom | 2 | 6% |
Switzerland | 1 | 3% |
Argentina | 1 | 3% |
Mexico | 1 | 3% |
Turkey | 1 | 3% |
Ireland | 1 | 3% |
Israel | 1 | 3% |
Spain | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 16 | 48% |
Members of the public | 14 | 42% |
Practitioners (doctors, other healthcare professionals) | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 76 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 17% |
Researcher | 10 | 13% |
Student > Doctoral Student | 9 | 12% |
Student > Bachelor | 6 | 8% |
Student > Master | 4 | 5% |
Other | 9 | 12% |
Unknown | 25 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 22% |
Medicine and Dentistry | 15 | 20% |
Unspecified | 3 | 4% |
Agricultural and Biological Sciences | 3 | 4% |
Nursing and Health Professions | 2 | 3% |
Other | 7 | 9% |
Unknown | 29 | 38% |
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 05 January 2021.
All research outputs
#1,969,408
of 25,476,463 outputs
Outputs from Genome Medicine
#438
of 1,591 outputs
Outputs of similar age
#47,906
of 477,133 outputs
Outputs of similar age from Genome Medicine
#11
of 34 outputs
Altmetric has tracked 25,476,463 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 1,591 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. 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 477,133 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 89% 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 70% of its contemporaries.