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PEPOP 2.0: new approaches to mimic non-continuous epitopes

Overview of attention for article published in BMC Bioinformatics, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
38 Mendeley
Summary Twitter Dimensions citations
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Title
PEPOP 2.0: new approaches to mimic non-continuous epitopes
Published in
BMC Bioinformatics, July 2019
DOI 10.1186/s12859-019-2867-5
Authors

Vincent Demolombe, Alexandre G. de Brevern, Liza Felicori, Christophe NGuyen, Ricardo Andrez Machado de Avila, Lionel Valera, Bénédicte Jardin-Watelet, Géraldine Lavigne, Aurélien Lebreton, Franck Molina, Violaine Moreau

View on publisher site

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Bachelor 4 11%
Other 3 8%
Student > Postgraduate 3 8%
Student > Master 3 8%
Other 6 16%
Unknown 7 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 29%
Chemistry 4 11%
Agricultural and Biological Sciences 4 11%
Psychology 2 5%
Immunology and Microbiology 2 5%
Other 6 16%
Unknown 9 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 July 2019.
All research outputs
#13,415,195
of 23,151,828 outputs
Outputs from BMC Bioinformatics
#4,053
of 7,339 outputs
Outputs of similar age
#167,177
of 346,562 outputs
Outputs of similar age from BMC Bioinformatics
#95
of 162 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 346,562 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 50% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.

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