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Characterizing the genetic differences between two distinct migrant groups from Indo-European and Dravidian speaking populations in India

Overview of attention for article published in BMC Genomic Data, July 2014
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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 (#34 of 1,204)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
13 X users
wikipedia
2 Wikipedia pages
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Characterizing the genetic differences between two distinct migrant groups from Indo-European and Dravidian speaking populations in India
Published in
BMC Genomic Data, July 2014
DOI 10.1186/1471-2156-15-86
Pubmed ID
Authors

Mohammad Ali, Xuanyao Liu, Esakimuthu Nisha Pillai, Peng Chen, Chiea-Chuen Khor, Rick Twee-Hee Ong, Yik-Ying Teo

Abstract

India is home to many ethnically and linguistically diverse populations. It is hypothesized that history of invasions by people from Persia and Central Asia, who are referred as Aryans in Hindu Holy Scriptures, had a defining role in shaping the Indian population canvas. A shift in spoken languages from Dravidian languages to Indo-European languages around 1500 B.C. is central to the Aryan Invasion Theory. Here we investigate the genetic differences between two sub-populations of India consisting of: (1) The Indo-European language speaking Gujarati Indians with genome-wide data from the International HapMap Project; and (2) the Dravidian language speaking Tamil Indians with genome-wide data from the Singapore Genome Variation Project.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Student > Master 8 22%
Researcher 4 11%
Lecturer > Senior Lecturer 3 8%
Professor > Associate Professor 2 6%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 22%
Agricultural and Biological Sciences 8 22%
Medicine and Dentistry 6 17%
Linguistics 1 3%
Nursing and Health Professions 1 3%
Other 5 14%
Unknown 7 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 15 February 2024.
All research outputs
#1,541,331
of 25,374,917 outputs
Outputs from BMC Genomic Data
#34
of 1,204 outputs
Outputs of similar age
#15,101
of 239,413 outputs
Outputs of similar age from BMC Genomic Data
#2
of 25 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 particularly well, scoring higher than 97% 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 239,413 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 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.