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Influence of language and ancestry on genetic structure of contiguous populations: A microsatellite based study on populations of Orissa

Overview of attention for article published in BMC Genomic Data, February 2005
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  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 blog

Citations

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16 Dimensions

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31 Mendeley
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Title
Influence of language and ancestry on genetic structure of contiguous populations: A microsatellite based study on populations of Orissa
Published in
BMC Genomic Data, February 2005
DOI 10.1186/1471-2156-6-4
Pubmed ID
Authors

Sanghamitra Sahoo, VK Kashyap

Abstract

We have examined genetic diversity at fifteen autosomal microsatellite loci in seven predominant populations of Orissa to decipher whether populations inhabiting the same geographic region can be differentiated on the basis of language or ancestry. The studied populations have diverse historical accounts of their origin, belong to two major ethnic groups and different linguistic families. Caucasoid caste populations are speakers of Indo-European language and comprise Brahmins, Khandayat, Karan and Gope, while the three Australoid tribal populations include two Austric speakers: Juang and Saora and a Dravidian speaking population, Paroja. These divergent groups provide a varied substratum for understanding variation of genetic patterns in a geographical area resulting from differential admixture between migrants groups and aboriginals, and the influence of this admixture on population stratification.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 3%
Spain 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Other 4 13%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 6%
Professor 2 6%
Other 7 23%
Unknown 8 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 23%
Biochemistry, Genetics and Molecular Biology 5 16%
Social Sciences 4 13%
Environmental Science 3 10%
Unspecified 2 6%
Other 1 3%
Unknown 9 29%
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 17 October 2006.
All research outputs
#6,596,069
of 25,371,288 outputs
Outputs from BMC Genomic Data
#222
of 1,203 outputs
Outputs of similar age
#31,167
of 157,680 outputs
Outputs of similar age from BMC Genomic Data
#2
of 8 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,203 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 81% 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 157,680 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 80% 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 6 of them.