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Prevalence of common disease-associated variants in Asian Indians

Overview of attention for article published in BMC Genomic Data, February 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
107 Mendeley
citeulike
1 CiteULike
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Title
Prevalence of common disease-associated variants in Asian Indians
Published in
BMC Genomic Data, February 2008
DOI 10.1186/1471-2156-9-13
Pubmed ID
Authors

Trevor J Pemberton, Niyati U Mehta, David Witonsky, Anna Di Rienzo, Hooman Allayee, David V Conti, Pragna I Patel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
United Kingdom 2 2%
Japan 1 <1%
France 1 <1%
Unknown 98 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Researcher 16 15%
Student > Master 10 9%
Student > Bachelor 10 9%
Student > Doctoral Student 5 5%
Other 19 18%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 27%
Medicine and Dentistry 22 21%
Biochemistry, Genetics and Molecular Biology 16 15%
Nursing and Health Professions 4 4%
Social Sciences 4 4%
Other 11 10%
Unknown 21 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2008.
All research outputs
#6,406,581
of 25,373,627 outputs
Outputs from BMC Genomic Data
#205
of 1,204 outputs
Outputs of similar age
#35,541
of 172,884 outputs
Outputs of similar age from BMC Genomic Data
#6
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 82% 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 172,884 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 79% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.