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Radiation of human mitochondria DNA types analyzed by restriction endonuclease cleavage patterns

Overview of attention for article published in Journal of Molecular Evolution, July 1983
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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 (97th percentile)

Mentioned by

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1 blog
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3 X users
wikipedia
2 Wikipedia pages

Citations

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228 Dimensions

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83 Mendeley
Title
Radiation of human mitochondria DNA types analyzed by restriction endonuclease cleavage patterns
Published in
Journal of Molecular Evolution, July 1983
DOI 10.1007/bf02099973
Pubmed ID
Authors

M. J. Johnson, D. C. Wallace, S. D. Ferris, M. C. Rattazzi, L. L. Cavalli-Sforza

Abstract

Human mitochondrial DNA (mtDNA) restriction endonuclease fragment patterns were analyzed using total blood cell DNA isolated from 200 individuals representing five different populations. Thirty-two fragment patterns (morphs) were observed with the enzymes Hpa I, Bam HI, Hae II, Msp I and Ava II yielding thirty-five different combinations of fragment patterns (mt DNA types). The major ethnic groups exhibit quantitative as well as qualitative differences in their mtDNA types, all of which are related to each other by a tree in which the closely related mtDNA types cluster according to geographic origin. Three mtDNA types are postulated to be 'central' to ethnic radiations due to their high frequencies, their appearance in more than one ethnic group, or their presence in other primate species. Genetic distances among populations were computed and employed in construction of an average linkage tree. If one of the three central mtDNA types is the root of the tree, differences in evolutionary rates among the branches become apparent. In particular, the Bushmen appear to have a higher evolutionary rate for mtDNA than the other four populations. Comparisons with nuclear gene frequencies suggest that this higher evolutionary rate may be the product of an elevated mutation rate or fixation of mutations in mtDNA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Brazil 1 1%
Austria 1 1%
Thailand 1 1%
New Zealand 1 1%
Unknown 76 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 18%
Student > Ph. D. Student 13 16%
Student > Master 11 13%
Professor 7 8%
Professor > Associate Professor 6 7%
Other 13 16%
Unknown 18 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 34%
Biochemistry, Genetics and Molecular Biology 15 18%
Arts and Humanities 4 5%
Psychology 3 4%
Medicine and Dentistry 3 4%
Other 11 13%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 08 December 2021.
All research outputs
#2,228,855
of 25,128,618 outputs
Outputs from Journal of Molecular Evolution
#75
of 1,492 outputs
Outputs of similar age
#191
of 7,953 outputs
Outputs of similar age from Journal of Molecular Evolution
#1
of 3 outputs
Altmetric has tracked 25,128,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,492 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 95% 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 7,953 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 97% of its contemporaries.
We're also able to compare this research output to 3 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