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CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies

Overview of attention for article published in Bioinformatics, November 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters
reddit
1 Redditor

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
4 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 75%
Unknown 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Agricultural and Biological Sciences 1 25%
Unknown 1 25%

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
#9,024,032
of 15,398,963 outputs
Outputs from Bioinformatics
#7,410
of 9,760 outputs
Outputs of similar age
#183,910
of 355,799 outputs
Outputs of similar age from Bioinformatics
#229
of 311 outputs
Altmetric has tracked 15,398,963 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 9,760 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 20th percentile – i.e., 20% 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 355,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 311 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.