| Title |
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies.
|
|---|---|
| Published in |
Bioinformatics, November 2019
|
| DOI | 10.1093/bioinformatics/btz880 |
| Pubmed ID | |
| Authors |
Yi Yang, Xingjie Shi, Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 17% |
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Professor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Agricultural and Biological Sciences | 3 | 13% |
| Mathematics | 2 | 9% |
| Computer Science | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2020.
All research outputs
#14,241,285
of 23,942,155 outputs
Outputs from Bioinformatics
#7,810
of 10,936 outputs
Outputs of similar age
#229,930
of 463,276 outputs
Outputs of similar age from Bioinformatics
#108
of 179 outputs
Altmetric has tracked 23,942,155 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,936 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 26th percentile – i.e., 26% 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 463,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.