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X Demographics
Mendeley readers
Attention Score in Context
Title |
Commonalities across computational workflows for uncovering explanatory variants in undiagnosed cases
|
---|---|
Published in |
Genetics in Medicine, February 2021
|
DOI | 10.1038/s41436-020-01084-8 |
Pubmed ID | |
Authors |
Shilpa Nadimpalli Kobren, Dustin Baldridge, Matt Velinder, Joel B. Krier, Kimberly LeBlanc, Cecilia Esteves, Barbara N. Pusey, Stephan Züchner, Elizabeth Blue, Hane Lee, Alden Huang, Lisa Bastarache, Anna Bican, Joy Cogan, Shruti Marwaha, Anna Alkelai, David R. Murdock, Pengfei Liu, Daniel J. Wegner, Alexander J. Paul, Shamil R. Sunyaev, Isaac S. Kohane |
X Demographics
The data shown below were collected from the profiles of 46 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 | 19 | 41% |
Taiwan | 2 | 4% |
Saudi Arabia | 2 | 4% |
France | 1 | 2% |
Greece | 1 | 2% |
Australia | 1 | 2% |
United Kingdom | 1 | 2% |
Canada | 1 | 2% |
India | 1 | 2% |
Other | 7 | 15% |
Unknown | 10 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 50% |
Scientists | 16 | 35% |
Practitioners (doctors, other healthcare professionals) | 5 | 11% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 21% |
Researcher | 7 | 17% |
Student > Postgraduate | 4 | 10% |
Other | 3 | 7% |
Student > Doctoral Student | 3 | 7% |
Other | 6 | 14% |
Unknown | 10 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 38% |
Agricultural and Biological Sciences | 3 | 7% |
Engineering | 3 | 7% |
Medicine and Dentistry | 3 | 7% |
Unspecified | 2 | 5% |
Other | 4 | 10% |
Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 26 March 2021.
All research outputs
#1,467,791
of 25,387,668 outputs
Outputs from Genetics in Medicine
#486
of 2,945 outputs
Outputs of similar age
#42,824
of 538,830 outputs
Outputs of similar age from Genetics in Medicine
#23
of 79 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 83% 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 538,830 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 92% of its contemporaries.
We're also able to compare this research output to 79 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.