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Sequencing and analysis of a South Asian-Indian personal genome

Overview of attention for article published in BMC Genomics, August 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
14 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
178 Mendeley
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Title
Sequencing and analysis of a South Asian-Indian personal genome
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-440
Pubmed ID
Authors

Ravi Gupta, Aakrosh Ratan, Changanamkandath Rajesh, Rong Chen, Hie Lim Kim, Richard Burhans, Webb Miller, Sam Santhosh, Ramana V Davuluri, Atul J Butte, Stephan C Schuster, Somasekar Seshagiri, George Thomas

Abstract

With over 1.3 billion people, India is estimated to contain three times more genetic diversity than does Europe. Next-generation sequencing technologies have facilitated the understanding of diversity by enabling whole genome sequencing at greater speed and lower cost. While genomes from people of European and Asian descent have been sequenced, only recently has a single male genome from the Indian subcontinent been published at sufficient depth and coverage. In this study we have sequenced and analyzed the genome of a South Asian Indian female (SAIF) from the Indian state of Kerala.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 2 1%
India 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Australia 1 <1%
Unknown 169 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 16%
Researcher 29 16%
Student > Bachelor 27 15%
Student > Ph. D. Student 24 13%
Professor > Associate Professor 11 6%
Other 26 15%
Unknown 32 18%
Readers by discipline Count As %
Medicine and Dentistry 44 25%
Agricultural and Biological Sciences 43 24%
Biochemistry, Genetics and Molecular Biology 12 7%
Neuroscience 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Other 27 15%
Unknown 38 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 August 2016.
All research outputs
#1,447,387
of 19,474,859 outputs
Outputs from BMC Genomics
#394
of 9,805 outputs
Outputs of similar age
#9,526
of 144,068 outputs
Outputs of similar age from BMC Genomics
#1
of 8 outputs
Altmetric has tracked 19,474,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,805 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 95% 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 144,068 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 93% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them