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Punctuated bursts in human male demography inferred from 1,244 worldwide Y-chromosome sequences

Overview of attention for article published in Nature Genetics, April 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Citations

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283 Dimensions

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328 Mendeley
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5 CiteULike
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Title
Punctuated bursts in human male demography inferred from 1,244 worldwide Y-chromosome sequences
Published in
Nature Genetics, April 2016
DOI 10.1038/ng.3559
Pubmed ID
Authors

G David Poznik, Yali Xue, Fernando L Mendez, Thomas F Willems, Andrea Massaia, Melissa A Wilson Sayres, Qasim Ayub, Shane A McCarthy, Apurva Narechania, Seva Kashin, Yuan Chen, Ruby Banerjee, Juan L Rodriguez-Flores, Maria Cerezo, Haojing Shao, Melissa Gymrek, Ankit Malhotra, Sandra Louzada, Rob Desalle, Graham R S Ritchie, Eliza Cerveira, Tomas W Fitzgerald, Erik Garrison, Anthony Marcketta, David Mittelman, Mallory Romanovitch, Chengsheng Zhang, Xiangqun Zheng-Bradley, Gonçalo R Abecasis, Steven A McCarroll, Paul Flicek, Peter A Underhill, Lachlan Coin, Daniel R Zerbino, Fengtang Yang, Charles Lee, Laura Clarke, Adam Auton, Yaniv Erlich, Robert E Handsaker, Carlos D Bustamante, Chris Tyler-Smith

Abstract

We report the sequences of 1,244 human Y chromosomes randomly ascertained from 26 worldwide populations by the 1000 Genomes Project. We discovered more than 65,000 variants, including single-nucleotide variants, multiple-nucleotide variants, insertions and deletions, short tandem repeats, and copy number variants. Of these, copy number variants contribute the greatest predicted functional impact. We constructed a calibrated phylogenetic tree on the basis of binary single-nucleotide variants and projected the more complex variants onto it, estimating the number of mutations for each class. Our phylogeny shows bursts of extreme expansion in male numbers that have occurred independently among each of the five continental superpopulations examined, at times of known migrations and technological innovations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 133 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Spain 2 <1%
United Kingdom 1 <1%
Germany 1 <1%
France 1 <1%
Luxembourg 1 <1%
Unknown 316 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 21%
Researcher 64 20%
Student > Bachelor 44 13%
Student > Master 34 10%
Student > Doctoral Student 19 6%
Other 54 16%
Unknown 44 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 111 34%
Biochemistry, Genetics and Molecular Biology 102 31%
Medicine and Dentistry 11 3%
Social Sciences 9 3%
Computer Science 8 2%
Other 37 11%
Unknown 50 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 363. 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 April 2024.
All research outputs
#89,917
of 25,870,940 outputs
Outputs from Nature Genetics
#134
of 7,639 outputs
Outputs of similar age
#1,730
of 313,646 outputs
Outputs of similar age from Nature Genetics
#6
of 60 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one has done particularly well, scoring higher than 98% 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 313,646 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 99% of its contemporaries.
We're also able to compare this research output to 60 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 90% of its contemporaries.