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High throughput sequencing of T-cell receptor repertoire using dry blood spots

Overview of attention for article published in Journal of Translational Medicine, February 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
High throughput sequencing of T-cell receptor repertoire using dry blood spots
Published in
Journal of Translational Medicine, February 2019
DOI 10.1186/s12967-019-1796-4
Pubmed ID
Authors

Shang-Gin Wu, Wenjing Pan, Hongna Liu, Miranda L. Byrne-Steele, Brittany Brown, Mollye Depinet, Xiaohong Hou, Jian Han, Song Li

Twitter Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Ph. D. Student 3 25%
Researcher 2 17%
Student > Bachelor 1 8%
Other 1 8%
Other 2 17%
Readers by discipline Count As %
Medicine and Dentistry 4 33%
Unspecified 3 25%
Immunology and Microbiology 3 25%
Agricultural and Biological Sciences 1 8%
Engineering 1 8%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 February 2019.
All research outputs
#7,544,703
of 13,411,977 outputs
Outputs from Journal of Translational Medicine
#1,053
of 2,644 outputs
Outputs of similar age
#127,242
of 253,470 outputs
Outputs of similar age from Journal of Translational Medicine
#2
of 3 outputs
Altmetric has tracked 13,411,977 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,644 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 57% 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 253,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.