↓ Skip to main content

Large-scale mitochondrial DNA analysis in Southeast Asia reveals evolutionary effects of cultural isolation in the multi-ethnic population of Myanmar

Overview of attention for article published in BMC Evolutionary Biology, January 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
18 tweeters
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
64 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Large-scale mitochondrial DNA analysis in Southeast Asia reveals evolutionary effects of cultural isolation in the multi-ethnic population of Myanmar
Published in
BMC Evolutionary Biology, January 2014
DOI 10.1186/1471-2148-14-17
Pubmed ID
Authors

Monika Summerer, Jürgen Horst, Gertraud Erhart, Hansi Weißensteiner, Sebastian Schönherr, Dominic Pacher, Lukas Forer, David Horst, Angelika Manhart, Basil Horst, Torpong Sanguansermsri, Anita Kloss-Brandstätter

Abstract

Myanmar is the largest country in mainland Southeast Asia with a population of 55 million people subdivided into more than 100 ethnic groups. Ruled by changing kingdoms and dynasties and lying on the trade route between India and China, Myanmar was influenced by numerous cultures. Since its independence from British occupation, tensions between the ruling Bamar and ethnic minorities increased.

Twitter Demographics

The data shown below were collected from the profiles of 18 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Brazil 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Researcher 15 23%
Student > Master 7 11%
Student > Bachelor 6 9%
Student > Doctoral Student 5 8%
Other 16 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 47%
Biochemistry, Genetics and Molecular Biology 10 16%
Social Sciences 6 9%
Medicine and Dentistry 6 9%
Computer Science 4 6%
Other 8 13%

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 22 July 2018.
All research outputs
#623,238
of 13,260,816 outputs
Outputs from BMC Evolutionary Biology
#174
of 2,475 outputs
Outputs of similar age
#12,112
of 242,793 outputs
Outputs of similar age from BMC Evolutionary Biology
#11
of 133 outputs
Altmetric has tracked 13,260,816 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,475 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 92% 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 242,793 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 133 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 91% of its contemporaries.