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Genome-wide analyses reveal the IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation

Overview of attention for article published in Genome Medicine, October 2018
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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19 X users
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1 research highlight platform

Citations

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69 Dimensions

Readers on

mendeley
74 Mendeley
citeulike
2 CiteULike
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Title
Genome-wide analyses reveal the IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation
Published in
Genome Medicine, October 2018
DOI 10.1186/s13073-018-0589-3
Pubmed ID
Authors

Jhuma Pramanik, Xi Chen, Gozde Kar, Johan Henriksson, Tomás Gomes, Jong-Eun Park, Kedar Natarajan, Kerstin B. Meyer, Zhichao Miao, Andrew N. J. McKenzie, Bidesh Mahata, Sarah A. Teichmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 14 19%
Student > Bachelor 7 9%
Student > Doctoral Student 4 5%
Other 4 5%
Other 8 11%
Unknown 22 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 34%
Agricultural and Biological Sciences 10 14%
Medicine and Dentistry 7 9%
Immunology and Microbiology 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 3 4%
Unknown 21 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 04 December 2023.
All research outputs
#3,014,717
of 25,837,817 outputs
Outputs from Genome Medicine
#668
of 1,611 outputs
Outputs of similar age
#59,487
of 365,007 outputs
Outputs of similar age from Genome Medicine
#12
of 27 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 58% 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 365,007 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 83% of its contemporaries.
We're also able to compare this research output to 27 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 55% of its contemporaries.