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RNA-seq of human T cells after hematopoietic stem cell transplantation identifies Linc00402 as a regulator of T cell alloimmunity

Overview of attention for article published in Science Translational Medicine, March 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
17 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
Title
RNA-seq of human T cells after hematopoietic stem cell transplantation identifies Linc00402 as a regulator of T cell alloimmunity
Published in
Science Translational Medicine, March 2021
DOI 10.1126/scitranslmed.aaz0316
Pubmed ID
Authors

Daniel Peltier, Molly Radosevich, Visweswaran Ravikumar, Sethuramasundaram Pitchiaya, Thomas Decoville, Sherri C. Wood, Guoqing Hou, Cynthia Zajac, Katherine Oravecz-Wilson, David Sokol, Israel Henig, Julia Wu, Stephanie Kim, Austin Taylor, Hideaki Fujiwara, Yaping Sun, Arvind Rao, Arul M. Chinnaiyan, Daniel R. Goldstein, Pavan Reddy

Twitter Demographics

The data shown below were collected from the profiles of 17 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Researcher 3 27%
Student > Doctoral Student 1 9%
Unknown 2 18%
Readers by discipline Count As %
Immunology and Microbiology 4 36%
Biochemistry, Genetics and Molecular Biology 3 27%
Agricultural and Biological Sciences 1 9%
Medicine and Dentistry 1 9%
Unknown 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 August 2021.
All research outputs
#396,978
of 18,810,040 outputs
Outputs from Science Translational Medicine
#1,106
of 4,652 outputs
Outputs of similar age
#12,268
of 321,065 outputs
Outputs of similar age from Science Translational Medicine
#47
of 92 outputs
Altmetric has tracked 18,810,040 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,652 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 70.7. This one has done well, scoring higher than 76% 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 321,065 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 96% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.