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X Demographics
Mendeley readers
Attention Score in Context
Title |
Insights into genetics, human biology and disease gleaned from family based genomic studies
|
---|---|
Published in |
Genetics in Medicine, January 2019
|
DOI | 10.1038/s41436-018-0408-7 |
Pubmed ID | |
Authors |
Jennifer E. Posey, Anne H. O’Donnell-Luria, Jessica X. Chong, Tamar Harel, Shalini N. Jhangiani, Zeynep H. Coban Akdemir, Steven Buyske, Davut Pehlivan, Claudia M. B. Carvalho, Samantha Baxter, Nara Sobreira, Pengfei Liu, Nan Wu, Jill A. Rosenfeld, Sushant Kumar, Dimitri Avramopoulos, Janson J. White, Kimberly F. Doheny, P. Dane Witmer, Corinne Boehm, V. Reid Sutton, Donna M. Muzny, Eric Boerwinkle, Murat Günel, Deborah A. Nickerson, Shrikant Mane, Daniel G. MacArthur, Richard A. Gibbs, Ada Hamosh, Richard P. Lifton, Tara C. Matise, Heidi L. Rehm, Mark Gerstein, Michael J. Bamshad, David Valle, James R. Lupski |
X Demographics
The data shown below were collected from the profiles of 65 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 | 24 | 37% |
Australia | 3 | 5% |
India | 2 | 3% |
United Kingdom | 2 | 3% |
Colombia | 2 | 3% |
Spain | 1 | 2% |
Vietnam | 1 | 2% |
Israel | 1 | 2% |
Germany | 1 | 2% |
Other | 7 | 11% |
Unknown | 21 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 49% |
Scientists | 31 | 48% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 187 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 18% |
Student > Ph. D. Student | 29 | 16% |
Student > Master | 16 | 9% |
Student > Postgraduate | 13 | 7% |
Student > Bachelor | 8 | 4% |
Other | 33 | 18% |
Unknown | 54 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 62 | 33% |
Medicine and Dentistry | 24 | 13% |
Agricultural and Biological Sciences | 9 | 5% |
Unspecified | 7 | 4% |
Computer Science | 5 | 3% |
Other | 20 | 11% |
Unknown | 60 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 29 April 2020.
All research outputs
#1,062,548
of 25,654,806 outputs
Outputs from Genetics in Medicine
#314
of 2,956 outputs
Outputs of similar age
#24,867
of 448,922 outputs
Outputs of similar age from Genetics in Medicine
#10
of 67 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,956 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 89% 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 448,922 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 94% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.