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X Demographics
Mendeley readers
Attention Score in Context
Title |
GBAT: a gene-based association test for robust detection of trans-gene regulation
|
---|---|
Published in |
Genome Biology, August 2020
|
DOI | 10.1186/s13059-020-02120-1 |
Pubmed ID | |
Authors |
Xuanyao Liu, Joel A. Mefford, Andrew Dahl, Yuan He, Meena Subramaniam, Alexis Battle, Alkes L. Price, Noah Zaitlen |
X Demographics
The data shown below were collected from the profiles of 22 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 | 6 | 27% |
United Kingdom | 2 | 9% |
France | 2 | 9% |
Austria | 1 | 5% |
Sweden | 1 | 5% |
India | 1 | 5% |
Italy | 1 | 5% |
Unknown | 8 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 45% |
Scientists | 10 | 45% |
Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 29% |
Researcher | 6 | 21% |
Student > Doctoral Student | 2 | 7% |
Student > Bachelor | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 2 | 7% |
Unknown | 6 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 32% |
Computer Science | 3 | 11% |
Mathematics | 2 | 7% |
Agricultural and Biological Sciences | 2 | 7% |
Social Sciences | 1 | 4% |
Other | 2 | 7% |
Unknown | 9 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 30 September 2020.
All research outputs
#3,309,748
of 25,387,668 outputs
Outputs from Genome Biology
#2,377
of 4,470 outputs
Outputs of similar age
#84,074
of 425,174 outputs
Outputs of similar age from Genome Biology
#72
of 93 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 425,174 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 80% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.