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A pipeline for RNA-seq based eQTL analysis with automated quality control procedures

Overview of attention for article published in BMC Bioinformatics, August 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
A pipeline for RNA-seq based eQTL analysis with automated quality control procedures
Published in
BMC Bioinformatics, August 2021
DOI 10.1186/s12859-021-04307-0
Pubmed ID
Authors

Tao Wang, Yongzhuang Liu, Junpeng Ruan, Xianjun Dong, Yadong Wang, Jiajie Peng

Twitter Demographics

The data shown below were collected from the profiles of 10 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Professor > Associate Professor 1 13%
Student > Postgraduate 1 13%
Unknown 4 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Computer Science 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 4 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2021.
All research outputs
#10,664,855
of 19,512,142 outputs
Outputs from BMC Bioinformatics
#3,259
of 6,616 outputs
Outputs of similar age
#131,195
of 334,074 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 15 outputs
Altmetric has tracked 19,512,142 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,616 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 49th percentile – i.e., 49% 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 334,074 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.