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Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants

Overview of attention for article published in Nature Genetics, October 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
242 Dimensions

Readers on

mendeley
514 Mendeley
citeulike
27 CiteULike
connotea
3 Connotea
Title
Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants
Published in
Nature Genetics, October 2010
DOI 10.1038/ng.680
Pubmed ID
Authors

Yingrui Li, Nicolas Vinckenbosch, Geng Tian, Emilia Huerta-Sanchez, Tao Jiang, Hui Jiang, Anders Albrechtsen, Gitte Andersen, Hongzhi Cao, Thorfinn Korneliussen, Niels Grarup, Yiran Guo, Ines Hellman, Xin Jin, Qibin Li, Jiangtao Liu, Xiao Liu, Thomas Sparsø, Meifang Tang, Honglong Wu, Renhua Wu, Chang Yu, Hancheng Zheng, Arne Astrup, Lars Bolund, Johan Holmkvist, Torben Jørgensen, Karsten Kristiansen, Ole Schmitz, Thue W Schwartz, Xiuqing Zhang, Ruiqiang Li, Huanming Yang, Jian Wang, Torben Hansen, Oluf Pedersen, Rasmus Nielsen, Jun Wang

Mendeley readers

The data shown below were compiled from readership statistics for 514 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 5%
United Kingdom 9 2%
Germany 6 1%
Netherlands 5 <1%
France 4 <1%
Canada 4 <1%
Belgium 4 <1%
Denmark 3 <1%
Spain 3 <1%
Other 18 4%
Unknown 434 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 198 39%
Student > Ph. D. Student 130 25%
Professor > Associate Professor 44 9%
Professor 34 7%
Student > Master 31 6%
Other 77 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 348 68%
Medicine and Dentistry 64 12%
Biochemistry, Genetics and Molecular Biology 48 9%
Unspecified 22 4%
Computer Science 10 2%
Other 22 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 October 2010.
All research outputs
#890,465
of 8,006,000 outputs
Outputs from Nature Genetics
#1,665
of 4,481 outputs
Outputs of similar age
#16,338
of 104,623 outputs
Outputs of similar age from Nature Genetics
#35
of 43 outputs
Altmetric has tracked 8,006,000 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. This one has gotten more attention than average, scoring higher than 61% 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 104,623 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.