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The 1000 Genomes Project: data management and community access

Overview of attention for article published in Nature Methods, April 2012
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
2 blogs
twitter
44 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
314 Dimensions

Readers on

mendeley
525 Mendeley
citeulike
29 CiteULike
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Title
The 1000 Genomes Project: data management and community access
Published in
Nature Methods, April 2012
DOI 10.1038/nmeth.1974
Pubmed ID
Authors

Laura Clarke, Xiangqun Zheng-Bradley, Richard Smith, Eugene Kulesha, Chunlin Xiao, Iliana Toneva, Brendan Vaughan, Don Preuss, Rasko Leinonen, Martin Shumway, Stephen Sherry, Paul Flicek

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 525 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Brazil 6 1%
United Kingdom 5 <1%
Germany 4 <1%
France 3 <1%
Norway 3 <1%
Canada 3 <1%
Korea, Republic of 2 <1%
Denmark 2 <1%
Other 16 3%
Unknown 472 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 119 23%
Student > Ph. D. Student 115 22%
Student > Master 71 14%
Student > Bachelor 43 8%
Other 30 6%
Other 99 19%
Unknown 48 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 216 41%
Biochemistry, Genetics and Molecular Biology 91 17%
Medicine and Dentistry 46 9%
Computer Science 40 8%
Social Sciences 8 2%
Other 59 11%
Unknown 65 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 05 July 2020.
All research outputs
#919,275
of 25,998,826 outputs
Outputs from Nature Methods
#1,202
of 5,404 outputs
Outputs of similar age
#4,531
of 179,517 outputs
Outputs of similar age from Nature Methods
#10
of 81 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. 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 179,517 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 97% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.