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X Demographics
Mendeley readers
Attention Score in Context
Title |
Assigning clinical meaning to somatic and germ-line whole-exome sequencing data in a prospective cancer precision medicine study
|
---|---|
Published in |
Genetics in Medicine, January 2017
|
DOI | 10.1038/gim.2016.191 |
Pubmed ID | |
Authors |
Arezou A. Ghazani, Nelly M. Oliver, Joseph P. St. Pierre, Andrea Garofalo, Irene R. Rainville, Elaine Hiller, Daniel J. Treacy, Vanesa Rojas-Rudilla, Sam Wood, Elizabeth Bair, Michael Parello, Franklin Huang, Marios Giannakis, Frederick H. Wilson, Elizabeth H. Stover, Steven M. Corsello, Tom Nguyen, Huma Q. Rana, Alanna J. Church, Carol Lowenstein, Carrie Cibulskis, Ali Amin-Mansour, Jennifer Heng, Lauren Brais, Abigail Santos, Patrick Bauer, Amanda Waldron, Peter Lo, Megan Gorman, Christine A. Lydon, Marisa Welch, Philip McNamara, Stacey Gabriel, Lynette M. Sholl, Neal I. Lindeman, Judy E. Garber, Steven Joffe, Eliezer M. Van Allen, Stacy W. Gray, Pasi A. Jänne, Levi A. Garraway, Nikhil Wagle |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
Israel | 2 | 13% |
United Kingdom | 2 | 13% |
Montenegro | 1 | 7% |
Italy | 1 | 7% |
Unknown | 5 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 53% |
Scientists | 6 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 91 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 23% |
Student > Master | 13 | 14% |
Other | 9 | 10% |
Student > Ph. D. Student | 7 | 8% |
Student > Bachelor | 6 | 7% |
Other | 16 | 18% |
Unknown | 19 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 22 | 24% |
Medicine and Dentistry | 22 | 24% |
Agricultural and Biological Sciences | 11 | 12% |
Computer Science | 3 | 3% |
Sports and Recreations | 2 | 2% |
Other | 7 | 8% |
Unknown | 24 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 May 2018.
All research outputs
#3,891,058
of 26,017,215 outputs
Outputs from Genetics in Medicine
#1,245
of 2,978 outputs
Outputs of similar age
#74,423
of 429,152 outputs
Outputs of similar age from Genetics in Medicine
#14
of 36 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has gotten more attention than average, scoring higher than 58% 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 429,152 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 82% of its contemporaries.
We're also able to compare this research output to 36 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 61% of its contemporaries.