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Curation of complex, context-dependent immunological data

Overview of attention for article published in BMC Bioinformatics, July 2006
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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 (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
26 Mendeley
connotea
1 Connotea
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Title
Curation of complex, context-dependent immunological data
Published in
BMC Bioinformatics, July 2006
DOI 10.1186/1471-2105-7-341
Pubmed ID
Authors

Randi Vita, Kerrie Vaughan, Laura Zarebski, Nima Salimi, Ward Fleri, Howard Grey, Muthu Sathiamurthy, John Mokili, Huynh-Hoa Bui, Philip E Bourne, Julia Ponomarenko, Romulo de Castro, Russell K Chan, John Sidney, Stephen S Wilson, Scott Stewart, Scott Way, Bjoern Peters, Alessandro Sette

Abstract

The Immune Epitope Database and Analysis Resource (IEDB) is dedicated to capturing, housing and analyzing complex immune epitope related data http://www.immuneepitope.org.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Netherlands 1 4%
Brazil 1 4%
Denmark 1 4%
United States 1 4%
Unknown 21 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Professor > Associate Professor 4 15%
Student > Bachelor 3 12%
Professor 3 12%
Student > Master 3 12%
Other 5 19%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 42%
Computer Science 4 15%
Social Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Philosophy 1 4%
Other 4 15%
Unknown 3 12%
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 11 May 2009.
All research outputs
#5,576,537
of 22,705,019 outputs
Outputs from BMC Bioinformatics
#2,044
of 7,255 outputs
Outputs of similar age
#18,615
of 66,000 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 41 outputs
Altmetric has tracked 22,705,019 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 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 66,000 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 71% of its contemporaries.
We're also able to compare this research output to 41 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 73% of its contemporaries.