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Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures

Overview of attention for article published in BMC Bioinformatics, December 2019
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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 (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Immune repertoire fingerprinting by principal component analysis reveals shared features in subject groups with common exposures
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3281-8
Pubmed ID
Authors

Alexander M. Sevy, Cinque Soto, Robin G. Bombardi, Jens Meiler, James E. Crowe

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Researcher 6 15%
Student > Master 5 12%
Student > Bachelor 4 10%
Other 4 10%
Other 6 15%
Unknown 8 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 27%
Agricultural and Biological Sciences 6 15%
Immunology and Microbiology 4 10%
Computer Science 2 5%
Engineering 2 5%
Other 5 12%
Unknown 11 27%
Attention Score in Context

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 16 February 2020.
All research outputs
#5,774,273
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#1,995
of 7,454 outputs
Outputs of similar age
#118,135
of 463,486 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 231 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 72% 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 463,486 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 231 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 72% of its contemporaries.