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Genetic structure of Indian populations based on fifteen autosomal microsatellite loci

Overview of attention for article published in BMC Genomic Data, May 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 1,210)
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

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16 X users
wikipedia
3 Wikipedia pages

Citations

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28 Dimensions

Readers on

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56 Mendeley
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Title
Genetic structure of Indian populations based on fifteen autosomal microsatellite loci
Published in
BMC Genomic Data, May 2006
DOI 10.1186/1471-2156-7-28
Pubmed ID
Authors

VK Kashyap, Saurav Guha, T Sitalaximi, G Hima Bindu, Seyed E Hasnain, R Trivedi

Abstract

Indian populations endowed with unparalleled genetic complexity have received a great deal of attention from scientists world over. However, the fundamental question over their ancestry, whether they are all genetically similar or do exhibit differences attributable to ethnicity, language, geography or socio-cultural affiliation is still unresolved. In order to decipher their underlying genetic structure, we undertook a study on 3522 individuals belonging to 54 endogamous Indian populations representing all major ethnic, linguistic and geographic groups and assessed the genetic variation using autosomal microsatellite markers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Spain 1 2%
South Africa 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 11 20%
Other 6 11%
Professor > Associate Professor 4 7%
Student > Bachelor 3 5%
Other 9 16%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 38%
Biochemistry, Genetics and Molecular Biology 8 14%
Social Sciences 5 9%
Linguistics 4 7%
Arts and Humanities 3 5%
Other 4 7%
Unknown 11 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 23 March 2024.
All research outputs
#1,918,817
of 25,639,676 outputs
Outputs from BMC Genomic Data
#43
of 1,210 outputs
Outputs of similar age
#3,472
of 86,718 outputs
Outputs of similar age from BMC Genomic Data
#1
of 4 outputs
Altmetric has tracked 25,639,676 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 1,210 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 96% 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 86,718 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 95% of its contemporaries.
We're also able to compare this research output to 4 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