↓ Skip to main content

The impact of cell type and context-dependent regulatory variants on human immune traits

Overview of attention for article published in Genome Biology, April 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
43 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The impact of cell type and context-dependent regulatory variants on human immune traits
Published in
Genome Biology, April 2021
DOI 10.1186/s13059-021-02334-x
Pubmed ID
Authors

Zepeng Mu, Wei, Benjamin Fair, Jinlin Miao, Ping Zhu, Yang I. Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 11 18%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 6 10%
Unknown 22 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 30%
Agricultural and Biological Sciences 8 13%
Psychology 2 3%
Immunology and Microbiology 2 3%
Computer Science 1 2%
Other 6 10%
Unknown 24 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 14 May 2021.
All research outputs
#1,481,484
of 24,597,084 outputs
Outputs from Genome Biology
#1,222
of 4,353 outputs
Outputs of similar age
#38,600
of 432,000 outputs
Outputs of similar age from Genome Biology
#38
of 95 outputs
Altmetric has tracked 24,597,084 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 71% 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 432,000 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 95 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 61% of its contemporaries.