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An atlas of mouse CD4+ T cell transcriptomes

Overview of attention for article published in Biology Direct, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

6 tweeters
1 patent


63 Dimensions

Readers on

163 Mendeley
2 CiteULike
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An atlas of mouse CD4+ T cell transcriptomes
Published in
Biology Direct, April 2015
DOI 10.1186/s13062-015-0045-x
Pubmed ID

Michael JT Stubbington, Bidesh Mahata, Valentine Svensson, Andrew Deonarine, Jesper K Nissen, Alexander G Betz, Sarah A Teichmann


CD4(+) T cells are key regulators of the adaptive immune system and can be divided into T helper (Th) cells and regulatory T (Treg) cells. During an immune response Th cells mature from a naive state into one of several effector subtypes that exhibit distinct functions. The transcriptional mechanisms that underlie the specific functional identity of CD4(+) T cells are not fully understood. To assist investigations into the transcriptional identity and regulatory processes of these cells we performed mRNA-sequencing on three murine T helper subtypes (Th1, Th2 and Th17) as well as on splenic Treg cells and induced Treg (iTreg) cells. Our integrated analysis of this dataset revealed the gene expression changes associated with these related but distinct cellular identities. Each cell subtype differentially expresses a wealth of 'subtype upregulated' genes, some of which are well known whilst others promise new insights into signalling processes and transcriptional regulation. We show that hundreds of genes are regulated purely by alternative splicing to extend our knowledge of the role of post-transcriptional regulation in cell differentiation. This CD4(+) transcriptome atlas provides a valuable resource for the study of CD4(+) T cell populations. To facilitate its use by others, we have made the data available in an easily accessible online resource at www.th-express.org . This article was reviewed by Wayne Hancock, Christine Wells and Erik van Nimwegen.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Japan 1 <1%
United Kingdom 1 <1%
Luxembourg 1 <1%
Unknown 158 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 25%
Researcher 31 19%
Student > Master 26 16%
Student > Bachelor 13 8%
Student > Doctoral Student 12 7%
Other 17 10%
Unknown 24 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 28%
Immunology and Microbiology 33 20%
Biochemistry, Genetics and Molecular Biology 31 19%
Medicine and Dentistry 11 7%
Computer Science 5 3%
Other 15 9%
Unknown 23 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 August 2021.
All research outputs
of 22,526,255 outputs
Outputs from Biology Direct
of 481 outputs
Outputs of similar age
of 242,377 outputs
Outputs of similar age from Biology Direct
of 1 outputs
Altmetric has tracked 22,526,255 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 60% 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 242,377 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 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them