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DNA fingerprinting in anthropological genetics: past, present, future

Overview of attention for article published in Investigative Genetics, November 2013
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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 (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
7 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
106 Mendeley
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Title
DNA fingerprinting in anthropological genetics: past, present, future
Published in
Investigative Genetics, November 2013
DOI 10.1186/2041-2223-4-23
Pubmed ID
Authors

Michael H Crawford, Kristine G Beaty

Abstract

In 1985, Sir Alec Jeffreys developed the variable-number tandem repeat method used to identify individuals and giving researchers the first DNA fingerprints. These initial methods were used in anthropological genetics, a field that uses a comparative approach to answer questions about human history, including the discernment of the origin of Native American populations and the discrimination of clan affiliation from individuals in Siberia. The technological and methodological advances since this time have led to the use of many more markers, including restriction fragment length polymorphisms, Y chromosomal and autosomal short tandem repeats, single nucleotide polymorphisms, and direct sequencing not only to identify individuals, but to examine frequencies and distributions of markers (or "prints") of entire populations. In the field of anthropological genetics these markers have been used to reconstruct evolutionary history and answer questions concerning human origins and diaspora, migration, and the effects of admixture and adaptation to different environments, as well as susceptibility and resistance to disease. This review discusses the evolution of DNA markers since their application by Sir Alec Jeffreys and their applications in anthropological genetics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
United States 2 2%
Kazakhstan 1 <1%
Unknown 101 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 12%
Student > Ph. D. Student 11 10%
Researcher 10 9%
Student > Bachelor 8 8%
Student > Postgraduate 5 5%
Other 12 11%
Unknown 47 44%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 24%
Biochemistry, Genetics and Molecular Biology 17 16%
Medicine and Dentistry 4 4%
Computer Science 1 <1%
Immunology and Microbiology 1 <1%
Other 8 8%
Unknown 50 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 09 January 2016.
All research outputs
#1,598,561
of 25,394,764 outputs
Outputs from Investigative Genetics
#27
of 94 outputs
Outputs of similar age
#17,260
of 315,906 outputs
Outputs of similar age from Investigative Genetics
#6
of 12 outputs
Altmetric has tracked 25,394,764 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 94 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has gotten more attention than average, scoring higher than 71% 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 315,906 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 94% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.