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On the computational modeling of the innate immune system

Overview of attention for article published in BMC Bioinformatics, April 2013
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
60 Mendeley
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Title
On the computational modeling of the innate immune system
Published in
BMC Bioinformatics, April 2013
DOI 10.1186/1471-2105-14-s6-s7
Pubmed ID
Authors

Alexandre Bittencourt Pigozzo, Gilson Costa Macedo, Rodrigo Weber dos Santos, Marcelo Lobosco

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
United Kingdom 1 2%
Unknown 56 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 11 18%
Student > Bachelor 7 12%
Professor 6 10%
Student > Postgraduate 4 7%
Other 12 20%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 25%
Biochemistry, Genetics and Molecular Biology 9 15%
Engineering 5 8%
Immunology and Microbiology 5 8%
Computer Science 5 8%
Other 13 22%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 December 2018.
All research outputs
#4,482,720
of 23,117,738 outputs
Outputs from BMC Bioinformatics
#1,626
of 7,330 outputs
Outputs of similar age
#36,016
of 198,561 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 123 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,330 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 done well, scoring higher than 77% 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 198,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 123 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 74% of its contemporaries.