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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, November 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
2 X users
wikipedia
3 Wikipedia pages

Citations

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354 Dimensions

Readers on

mendeley
232 Mendeley
connotea
1 Connotea
Title
Conservation and divergence of gene families encoding components of innate immune response systems in zebrafish
Published in
Genome Biology, November 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Chile 1 <1%
France 1 <1%
Finland 1 <1%
Sweden 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 222 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 25%
Researcher 51 22%
Student > Master 32 14%
Student > Bachelor 25 11%
Professor > Associate Professor 11 5%
Other 30 13%
Unknown 26 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 48%
Biochemistry, Genetics and Molecular Biology 43 19%
Immunology and Microbiology 23 10%
Medicine and Dentistry 8 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 1%
Other 10 4%
Unknown 33 14%
Attention Score in Context

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 15 July 2023.
All research outputs
#7,047,742
of 25,374,917 outputs
Outputs from Genome Biology
#3,232
of 4,467 outputs
Outputs of similar age
#35,399
of 166,223 outputs
Outputs of similar age from Genome Biology
#17
of 42 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% 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 166,223 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 78% of its contemporaries.
We're also able to compare this research output to 42 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 59% of its contemporaries.