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Predicting population coverage of T-cell epitope-based diagnostics and vaccines

Overview of attention for article published in BMC Bioinformatics, March 2006
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
patent
10 patents

Citations

dimensions_citation
597 Dimensions

Readers on

mendeley
408 Mendeley
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Title
Predicting population coverage of T-cell epitope-based diagnostics and vaccines
Published in
BMC Bioinformatics, March 2006
DOI 10.1186/1471-2105-7-153
Pubmed ID
Authors

Huynh-Hoa Bui, John Sidney, Kenny Dinh, Scott Southwood, Mark J Newman, Alessandro Sette

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Denmark 1 <1%
Saudi Arabia 1 <1%
Unknown 405 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 67 16%
Researcher 47 12%
Student > Master 47 12%
Student > Ph. D. Student 45 11%
Other 14 3%
Other 50 12%
Unknown 138 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 100 25%
Agricultural and Biological Sciences 43 11%
Immunology and Microbiology 38 9%
Medicine and Dentistry 16 4%
Chemistry 13 3%
Other 53 13%
Unknown 145 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 September 2023.
All research outputs
#2,549,093
of 24,657,405 outputs
Outputs from BMC Bioinformatics
#713
of 7,565 outputs
Outputs of similar age
#5,738
of 84,519 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 61 outputs
Altmetric has tracked 24,657,405 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,565 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 done particularly well, scoring higher than 90% 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 84,519 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 92% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.