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Whole genome sequencing of the black grouse (Tetrao tetrix): reference guided assembly suggests faster-Z and MHC evolution

Overview of attention for article published in BMC Genomics, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
4 tweeters
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
135 Mendeley
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Title
Whole genome sequencing of the black grouse (Tetrao tetrix): reference guided assembly suggests faster-Z and MHC evolution
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-180
Pubmed ID
Authors

Biao Wang, Robert Ekblom, Ignas Bunikis, Heli Siitari, Jacob Höglund

Abstract

The different regions of a genome do not evolve at the same rate. For example, comparative genomic studies have suggested that the sex chromosomes and the regions harbouring the immune defence genes in the Major Histocompatability Complex (MHC) may evolve faster than other genomic regions. The advent of the next generation sequencing technologies has made it possible to study which genomic regions are evolutionary liable to change and which are static, as well as enabling an increasing number of genome studies of non-model species. However, de novo sequencing of the whole genome of an organism remains non-trivial. In this study, we present the draft genome of the black grouse, which was developed using a reference-guided assembly strategy.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 1 <1%
Vietnam 1 <1%
Taiwan 1 <1%
Portugal 1 <1%
Unknown 128 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 26%
Researcher 31 23%
Student > Master 26 19%
Student > Bachelor 8 6%
Student > Postgraduate 6 4%
Other 13 10%
Unknown 16 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 61%
Biochemistry, Genetics and Molecular Biology 23 17%
Computer Science 7 5%
Environmental Science 3 2%
Nursing and Health Professions 1 <1%
Other 2 1%
Unknown 17 13%

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 10 May 2021.
All research outputs
#4,966,174
of 19,293,201 outputs
Outputs from BMC Genomics
#2,171
of 9,760 outputs
Outputs of similar age
#48,514
of 197,623 outputs
Outputs of similar age from BMC Genomics
#2
of 7 outputs
Altmetric has tracked 19,293,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 9,760 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 77% 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 197,623 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 74% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.