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Curating the innate immunity interactome

Overview of attention for article published in BMC Systems Biology, August 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
1 tweeter
f1000
1 research highlight platform

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
3 CiteULike
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Title
Curating the innate immunity interactome
Published in
BMC Systems Biology, August 2010
DOI 10.1186/1752-0509-4-117
Pubmed ID
Authors

David J Lynn, Calvin Chan, Misbah Naseer, Melissa Yau, Raymond Lo, Anastasia Sribnaia, Giselle Ring, Jaimmie Que, Kathleen Wee, Geoffrey L Winsor, Matthew R Laird, Karin Breuer, Amir K Foroushani, Fiona SL Brinkman, Robert EW Hancock

Abstract

The innate immune response is the first line of defence against invading pathogens and is regulated by complex signalling and transcriptional networks. Systems biology approaches promise to shed new light on the regulation of innate immunity through the analysis and modelling of these networks. A key initial step in this process is the contextual cataloguing of the components of this system and the molecular interactions that comprise these networks. InnateDB (http://www.innatedb.com) is a molecular interaction and pathway database developed to facilitate systems-level analyses of innate immunity.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
United States 4 3%
Brazil 2 2%
Italy 2 2%
Sweden 1 <1%
Netherlands 1 <1%
Austria 1 <1%
India 1 <1%
Mexico 1 <1%
Other 2 2%
Unknown 103 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 26%
Student > Ph. D. Student 31 25%
Professor > Associate Professor 10 8%
Student > Postgraduate 9 7%
Professor 8 7%
Other 25 20%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 55%
Biochemistry, Genetics and Molecular Biology 15 12%
Medicine and Dentistry 11 9%
Immunology and Microbiology 9 7%
Computer Science 4 3%
Other 3 2%
Unknown 13 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2013.
All research outputs
#6,905,456
of 12,440,051 outputs
Outputs from BMC Systems Biology
#431
of 1,052 outputs
Outputs of similar age
#97,290
of 216,569 outputs
Outputs of similar age from BMC Systems Biology
#19
of 52 outputs
Altmetric has tracked 12,440,051 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,052 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 58% 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 216,569 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 54% of its contemporaries.
We're also able to compare this research output to 52 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 63% of its contemporaries.