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X Demographics
Mendeley readers
Attention Score in Context
Title |
Evaluating the Clinical Validity of Gene-Disease Associations: An Evidence-Based Framework Developed by the Clinical Genome Resource
|
---|---|
Published in |
American Journal of Human Genetics, May 2017
|
DOI | 10.1016/j.ajhg.2017.04.015 |
Pubmed ID | |
Authors |
Natasha T. Strande, Erin Rooney Riggs, Adam H. Buchanan, Ozge Ceyhan-Birsoy, Marina DiStefano, Selina S. Dwight, Jenny Goldstein, Rajarshi Ghosh, Bryce A. Seifert, Tam P. Sneddon, Matt W. Wright, Laura V. Milko, J. Michael Cherry, Monica A. Giovanni, Michael F. Murray, Julianne M. O’Daniel, Erin M. Ramos, Avni B. Santani, Alan F. Scott, Sharon E. Plon, Heidi L. Rehm, Christa L. Martin, Jonathan S. Berg |
X Demographics
The data shown below were collected from the profiles of 80 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 | 27 | 34% |
Australia | 7 | 9% |
United Kingdom | 4 | 5% |
Japan | 2 | 3% |
Colombia | 1 | 1% |
Taiwan | 1 | 1% |
Uruguay | 1 | 1% |
Canada | 1 | 1% |
Mexico | 1 | 1% |
Other | 2 | 3% |
Unknown | 33 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 39 | 49% |
Scientists | 36 | 45% |
Practitioners (doctors, other healthcare professionals) | 4 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Italy | 1 | <1% |
Canada | 1 | <1% |
Unknown | 405 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 71 | 17% |
Student > Ph. D. Student | 51 | 13% |
Other | 43 | 11% |
Student > Master | 30 | 7% |
Student > Bachelor | 30 | 7% |
Other | 72 | 18% |
Unknown | 111 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 116 | 28% |
Medicine and Dentistry | 82 | 20% |
Agricultural and Biological Sciences | 47 | 12% |
Computer Science | 9 | 2% |
Neuroscience | 8 | 2% |
Other | 27 | 7% |
Unknown | 119 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 94. 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 08 November 2019.
All research outputs
#460,116
of 25,837,817 outputs
Outputs from American Journal of Human Genetics
#183
of 5,955 outputs
Outputs of similar age
#9,359
of 329,568 outputs
Outputs of similar age from American Journal of Human Genetics
#7
of 38 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done particularly well, scoring higher than 96% 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 329,568 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 96% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.