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Ancient DNA and the rewriting of human history: be sparing with Occam’s razor

Overview of attention for article published in Genome Biology, January 2016
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
203 X users
facebook
8 Facebook pages
googleplus
5 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
1072 Dimensions

Readers on

mendeley
283 Mendeley
citeulike
2 CiteULike
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Title
Ancient DNA and the rewriting of human history: be sparing with Occam’s razor
Published in
Genome Biology, January 2016
DOI 10.1186/s13059-015-0866-z
Pubmed ID
Authors

Marc Haber, Massimo Mezzavilla, Yali Xue, Chris Tyler-Smith

Abstract

Ancient DNA research is revealing a human history far more complex than that inferred from parsimonious models based on modern DNA. Here, we review some of the key events in the peopling of the world in the light of the findings of work on ancient DNA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 203 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 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Portugal 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Australia 1 <1%
Malaysia 1 <1%
Finland 1 <1%
Belgium 1 <1%
Croatia 1 <1%
Other 0 0%
Unknown 268 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 26%
Researcher 46 16%
Student > Bachelor 41 14%
Student > Master 28 10%
Professor 17 6%
Other 47 17%
Unknown 30 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 37%
Biochemistry, Genetics and Molecular Biology 77 27%
Arts and Humanities 16 6%
Social Sciences 10 4%
Medicine and Dentistry 7 2%
Other 30 11%
Unknown 37 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 07 September 2022.
All research outputs
#294,536
of 25,905,864 outputs
Outputs from Genome Biology
#115
of 4,533 outputs
Outputs of similar age
#4,968
of 403,288 outputs
Outputs of similar age from Genome Biology
#6
of 68 outputs
Altmetric has tracked 25,905,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 403,288 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 98% of its contemporaries.
We're also able to compare this research output to 68 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.