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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 Genomic Data, April 2013
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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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 Genomic Data, April 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Italy 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 8 19%
Student > Master 5 12%
Student > Doctoral Student 4 10%
Other 2 5%
Other 4 10%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 55%
Biochemistry, Genetics and Molecular Biology 6 14%
Arts and Humanities 1 2%
Linguistics 1 2%
Environmental Science 1 2%
Other 2 5%
Unknown 8 19%
Attention Score in Context

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
#14,599,900
of 25,373,627 outputs
Outputs from BMC Genomic Data
#429
of 1,204 outputs
Outputs of similar age
#108,693
of 205,940 outputs
Outputs of similar age from BMC Genomic Data
#7
of 20 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 63% 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 205,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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 65% of its contemporaries.