Title |
TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits
|
---|---|
Published in |
American Journal of Human Genetics, June 2019
|
DOI | 10.1016/j.ajhg.2019.05.018 |
Pubmed ID | |
Authors |
Sini Nagpal, Xiaoran Meng, Michael P Epstein, Lam C Tsoi, Matthew Patrick, Greg Gibson, Philip L De Jager, David A Bennett, Aliza P Wingo, Thomas S Wingo, Jingjing Yang |
X Demographics
The data shown below were collected from the profiles of 30 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 | 9 | 30% |
Canada | 2 | 7% |
Brazil | 1 | 3% |
United Kingdom | 1 | 3% |
Argentina | 1 | 3% |
Spain | 1 | 3% |
Unknown | 15 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 19 | 63% |
Members of the public | 10 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 97 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 18% |
Student > Master | 13 | 13% |
Professor | 9 | 9% |
Researcher | 9 | 9% |
Student > Bachelor | 7 | 7% |
Other | 13 | 13% |
Unknown | 29 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 28 | 29% |
Agricultural and Biological Sciences | 10 | 10% |
Neuroscience | 4 | 4% |
Medicine and Dentistry | 4 | 4% |
Psychology | 3 | 3% |
Other | 11 | 11% |
Unknown | 37 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 27 June 2019.
All research outputs
#2,034,318
of 25,394,764 outputs
Outputs from American Journal of Human Genetics
#1,094
of 5,882 outputs
Outputs of similar age
#42,975
of 367,208 outputs
Outputs of similar age from American Journal of Human Genetics
#26
of 55 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,882 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 81% 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 367,208 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 88% of its contemporaries.
We're also able to compare this research output to 55 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 52% of its contemporaries.