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Molecular footprints of domestication and improvement in soybean revealed by whole genome re-sequencing

Overview of attention for article published in BMC Genomics, August 2013
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Citations

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187 Dimensions

Readers on

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178 Mendeley
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1 CiteULike
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Title
Molecular footprints of domestication and improvement in soybean revealed by whole genome re-sequencing
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-579
Pubmed ID
Authors

Ying-hui Li, Shan-cen Zhao, Jian-xin Ma, Dong Li, Long Yan, Jun Li, Xiao-tian Qi, Xiao-sen Guo, Le Zhang, Wei-ming He, Ru-zhen Chang, Qin-si Liang, Yong Guo, Chen Ye, Xiao-bo Wang, Yong Tao, Rong-xia Guan, Jun-yi Wang, Yu-lin Liu, Long-guo Jin, Xiu-qing Zhang, Zhang-xiong Liu, Li-juan Zhang, Jie Chen, Ke-jing Wang, Rasmus Nielsen, Rui-qiang Li, Peng-yin Chen, Wen-bin Li, Jochen C Reif, Michael Purugganan, Jian Wang, Meng-chen Zhang, Jun Wang, Li-juan Qiu

Abstract

Artificial selection played an important role in the origin of modern Glycine max cultivars from the wild soybean Glycine soja. To elucidate the consequences of artificial selection accompanying the domestication and modern improvement of soybean, 25 new and 30 published whole-genome re-sequencing accessions, which represent wild, domesticated landrace, and Chinese elite soybean populations were analyzed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Netherlands 1 <1%
India 1 <1%
France 1 <1%
China 1 <1%
Argentina 1 <1%
Unknown 171 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 20%
Researcher 33 19%
Student > Master 26 15%
Student > Bachelor 13 7%
Student > Doctoral Student 7 4%
Other 28 16%
Unknown 36 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 104 58%
Biochemistry, Genetics and Molecular Biology 21 12%
Environmental Science 2 1%
Computer Science 2 1%
Unspecified 1 <1%
Other 5 3%
Unknown 43 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 September 2013.
All research outputs
#14,125,761
of 23,079,238 outputs
Outputs from BMC Genomics
#5,387
of 10,704 outputs
Outputs of similar age
#111,288
of 200,991 outputs
Outputs of similar age from BMC Genomics
#59
of 137 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,704 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% 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 200,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 137 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 53% of its contemporaries.