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Evolutionary history of black grouse major histocompatibility complex class IIB genes revealed through single locus sequence-based genotyping

Overview of attention for article published in BMC Genetics, January 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

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6 tweeters

Citations

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14 Dimensions

Readers on

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38 Mendeley
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Title
Evolutionary history of black grouse major histocompatibility complex class IIB genes revealed through single locus sequence-based genotyping
Published in
BMC Genetics, January 2013
DOI 10.1186/1471-2156-14-29
Pubmed ID
Authors

Tanja Strand, Biao Wang, Yvonne Meyer-Lucht, Jacob Höglund

Abstract

Gene duplications are frequently observed in the Major Histocompatibility Complex (MHC) of many species, and as a consequence loci belonging to the same MHC class are often too similar to tell apart. In birds, single locus genotyping of MHC genes has proven difficult due to concerted evolution homogenizing sequences at different loci. But studies on evolutionary history, mode of selection and heterozygosity correlations on the MHC cannot be performed before it is possible to analyse duplicated genes separately. In this study we investigate the architecture and evolution of the MHC class IIB genes in black grouse. We developed a sequence-based genotyping method for separate amplification of the two black grouse MHC class IIB genes BLB1 and BLB2. Based on this approach we are able to study differences in structure and selection between the two genes in black grouse and relate these results to the chicken MHC structure and organization.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Italy 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Ph. D. Student 7 18%
Student > Master 5 13%
Student > Doctoral Student 3 8%
Other 2 5%
Other 5 13%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 55%
Biochemistry, Genetics and Molecular Biology 6 16%
Arts and Humanities 1 3%
Linguistics 1 3%
Environmental Science 1 3%
Other 1 3%
Unknown 7 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 April 2013.
All research outputs
#8,006,549
of 15,457,755 outputs
Outputs from BMC Genetics
#295
of 970 outputs
Outputs of similar age
#65,805
of 155,925 outputs
Outputs of similar age from BMC Genetics
#1
of 1 outputs
Altmetric has tracked 15,457,755 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 69% 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 155,925 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 57% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them