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A reference genome for common bean and genome-wide analysis of dual domestications

Overview of attention for article published in Nature Genetics, June 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Readers on

mendeley
351 Mendeley
citeulike
3 CiteULike
Title
A reference genome for common bean and genome-wide analysis of dual domestications
Published in
Nature Genetics, June 2014
DOI 10.1038/ng.3008
Pubmed ID
Authors

Jeremy Schmutz, Phillip E McClean, Sujan Mamidi, G Albert Wu, Steven B Cannon, Jane Grimwood, Jerry Jenkins, Shengqiang Shu, Qijian Song, Carolina Chavarro, Mirayda Torres-Torres, Valerie Geffroy, Samira Mafi Moghaddam, Dongying Gao, Brian Abernathy, Kerrie Barry, Matthew Blair, Mark A Brick, Mansi Chovatia, Paul Gepts, David M Goodstein, Michael Gonzales, Uffe Hellsten, David L Hyten, Gaofeng Jia, James D Kelly, Dave Kudrna, Rian Lee, Manon M S Richard, Phillip N Miklas, Juan M Osorno, Josiane Rodrigues, Vincent Thareau, Carlos A Urrea, Mei Wang, Yeisoo Yu, Ming Zhang, Rod A Wing, Perry B Cregan, Daniel S Rokhsar, Scott A Jackson

Abstract

Common bean (Phaseolus vulgaris L.) is the most important grain legume for human consumption and has a role in sustainable agriculture owing to its ability to fix atmospheric nitrogen. We assembled 473 Mb of the 587-Mb genome and genetically anchored 98% of this sequence in 11 chromosome-scale pseudomolecules. We compared the genome for the common bean against the soybean genome to find changes in soybean resulting from polyploidy. Using resequencing of 60 wild individuals and 100 landraces from the genetically differentiated Mesoamerican and Andean gene pools, we confirmed 2 independent domestications from genetic pools that diverged before human colonization. Less than 10% of the 74 Mb of sequence putatively involved in domestication was shared by the two domestication events. We identified a set of genes linked with increased leaf and seed size and combined these results with quantitative trait locus data from Mesoamerican cultivars. Genes affected by domestication may be useful for genomics-enabled crop improvement.

Twitter Demographics

The data shown below were collected from the profiles of 46 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 351 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 3%
Brazil 9 3%
Spain 4 1%
Canada 3 <1%
France 3 <1%
Germany 2 <1%
Australia 2 <1%
Mexico 2 <1%
India 2 <1%
Other 21 6%
Unknown 292 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 26%
Researcher 79 23%
Student > Master 67 19%
Student > Doctoral Student 32 9%
Student > Bachelor 20 6%
Other 63 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 289 82%
Biochemistry, Genetics and Molecular Biology 35 10%
Unspecified 10 3%
Computer Science 5 1%
Environmental Science 4 1%
Other 8 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 94. 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 02 June 2016.
All research outputs
#85,508
of 8,034,128 outputs
Outputs from Nature Genetics
#308
of 4,488 outputs
Outputs of similar age
#2,328
of 178,300 outputs
Outputs of similar age from Nature Genetics
#13
of 63 outputs
Altmetric has tracked 8,034,128 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,488 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.4. This one has done particularly well, scoring higher than 93% 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 178,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.