↓ Skip to main content

MHC genotyping of non-model organisms using next-generation sequencing: a new methodology to deal with artefacts and allelic dropout

Overview of attention for article published in BMC Genomics, August 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
216 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
MHC genotyping of non-model organisms using next-generation sequencing: a new methodology to deal with artefacts and allelic dropout
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-542
Pubmed ID
Authors

Simone Sommer, Alexandre Courtiol, Camila J Mazzoni

Abstract

The Major Histocompatibility Complex (MHC) is the most important genetic marker to study patterns of adaptive genetic variation determining pathogen resistance and associated life history decisions. It is used in many different research fields ranging from human medical, molecular evolutionary to functional biodiversity studies. Correct assessment of the individual allelic diversity pattern and the underlying structural sequence variation is the basic requirement to address the functional importance of MHC variability. Next-generation sequencing (NGS) technologies are likely to replace traditional genotyping methods to a great extent in the near future but first empirical studies strongly indicate the need for a rigorous quality control pipeline. Strict approaches for data validation and allele calling to distinguish true alleles from artefacts are required.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Australia 2 <1%
Portugal 1 <1%
Italy 1 <1%
Ireland 1 <1%
France 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 204 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 27%
Researcher 52 24%
Student > Master 34 16%
Student > Bachelor 12 6%
Student > Postgraduate 12 6%
Other 24 11%
Unknown 24 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 63%
Biochemistry, Genetics and Molecular Biology 31 14%
Computer Science 4 2%
Environmental Science 3 1%
Engineering 3 1%
Other 9 4%
Unknown 29 13%
Attention Score in Context

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 14 August 2013.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#158,885
of 209,073 outputs
Outputs of similar age from BMC Genomics
#136
of 188 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 209,073 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.