↓ Skip to main content

Modeling the contrasting Neolithic male lineage expansions in Europe and Africa

Overview of attention for article published in Investigative Genetics, November 2013
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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
36 X users
facebook
9 Facebook pages
googleplus
3 Google+ users
reddit
3 Redditors

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
26 Mendeley
citeulike
3 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
Modeling the contrasting Neolithic male lineage expansions in Europe and Africa
Published in
Investigative Genetics, November 2013
DOI 10.1186/2041-2223-4-25
Pubmed ID
Authors

Michael J Sikora, Vincenza Colonna, Yali Xue, Chris Tyler-Smith

Abstract

Patterns of genetic variation in a population carry information about the prehistory of the population, and for the human Y chromosome an especially informative phylogenetic tree has previously been constructed from fully-sequenced chromosomes. This revealed contrasting bifurcating and starlike phylogenies for the major lineages associated with the Neolithic expansions in sub-Saharan Africa and Western Europe, respectively.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 42%
Student > Bachelor 3 12%
Other 2 8%
Student > Master 2 8%
Researcher 2 8%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 50%
Biochemistry, Genetics and Molecular Biology 5 19%
Social Sciences 2 8%
Psychology 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 4 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 16 December 2014.
All research outputs
#805,968
of 25,602,335 outputs
Outputs from Investigative Genetics
#11
of 94 outputs
Outputs of similar age
#8,097
of 316,512 outputs
Outputs of similar age from Investigative Genetics
#3
of 13 outputs
Altmetric has tracked 25,602,335 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% 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 done well, scoring higher than 89% 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 316,512 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 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.