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Conservation and divergence of gene families encoding components of innate immune response systems in zebrafish

Overview of attention for article published in Genome Biology (Online Edition), January 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
262 Dimensions

Readers on

mendeley
172 Mendeley
connotea
1 Connotea
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Title
Conservation and divergence of gene families encoding components of innate immune response systems in zebrafish
Published in
Genome Biology (Online Edition), January 2007
DOI 10.1186/gb-2007-8-11-r251
Pubmed ID
Authors

Cornelia Stein, Mario Caccamo, Gavin Laird, Maria Leptin

Abstract

The zebrafish has become a widely used model to study disease resistance and immunity. Although the genes encoding many components of immune signaling pathways have been found in teleost fish, it is not clear whether all components are present or whether the complexity of the signaling mechanisms employed by mammals is similar in fish.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Finland 1 <1%
Sweden 1 <1%
France 1 <1%
Chile 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 162 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 27%
Student > Ph. D. Student 46 27%
Student > Master 24 14%
Student > Bachelor 19 11%
Professor > Associate Professor 10 6%
Other 19 11%
Unknown 7 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 107 62%
Biochemistry, Genetics and Molecular Biology 26 15%
Immunology and Microbiology 13 8%
Medicine and Dentistry 7 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Other 7 4%
Unknown 10 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 July 2020.
All research outputs
#4,099,669
of 15,584,624 outputs
Outputs from Genome Biology (Online Edition)
#2,309
of 3,351 outputs
Outputs of similar age
#69,502
of 291,445 outputs
Outputs of similar age from Genome Biology (Online Edition)
#6
of 7 outputs
Altmetric has tracked 15,584,624 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.4. This one is in the 30th percentile – i.e., 30% 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 291,445 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 75% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.