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Sex-dependent genetic effects on immune responses to a parasitic nematode

Overview of attention for article published in BMC Genomics, March 2014
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2 tweeters

Citations

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15 Dimensions

Readers on

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31 Mendeley
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Title
Sex-dependent genetic effects on immune responses to a parasitic nematode
Published in
BMC Genomics, March 2014
DOI 10.1186/1471-2164-15-193
Pubmed ID
Authors

Kelly S Hayes, Reinmar Hager, Richard K Grencis

Abstract

Many disease aetiologies have sex specific effects, which have important implications for disease management. It is now becoming increasingly evident that such effects are the result of the differential expression of autosomal genes rather than sex-specific genes. Such sex-specific variation in the response to Trichuris muris, a murine parasitic nematode infection and model for the human parasitic nematode T. trichiura, has been well documented, however, the underlying genetic causes of these differences have been largely neglected. We used the BXD mouse set of recombinant inbred strains to identify sex-specific loci that contribute to immune phenotypes in T. muris infection.

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
United States 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 39%
Researcher 11 35%
Student > Bachelor 3 10%
Student > Master 2 6%
Professor 1 3%
Other 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 58%
Immunology and Microbiology 5 16%
Biochemistry, Genetics and Molecular Biology 3 10%
Medicine and Dentistry 2 6%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 1 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2014.
All research outputs
#9,508,978
of 12,373,620 outputs
Outputs from BMC Genomics
#5,253
of 7,313 outputs
Outputs of similar age
#122,349
of 193,825 outputs
Outputs of similar age from BMC Genomics
#32
of 47 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 22nd percentile – i.e., 22% 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 193,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.