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Highly Informative Ancient DNA ‘Snippets’ for New Zealand Moa

Overview of attention for article published in PLOS ONE, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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1 Wikipedia page

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24 Mendeley
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Title
Highly Informative Ancient DNA ‘Snippets’ for New Zealand Moa
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0050732
Pubmed ID
Authors

Jonathan McCallum, Samantha Hall, Iman Lissone, Jennifer Anderson, Leon Huynen, David M. Lambert

Abstract

Analysis of ancient DNA has provided invaluable information on past ecologies, ancient populations, and extinct species. We used a short snippet of highly variable mitochondrial control region sequence from New Zealand's moa to characterise a large number of bones previously intractable to DNA analysis as well as bone fragments from swamps to gain information about the haplotype diversity and phylogeography that existed in five moa species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Ph. D. Student 5 21%
Student > Master 4 17%
Professor 3 13%
Student > Bachelor 2 8%
Other 4 17%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 67%
Biochemistry, Genetics and Molecular Biology 3 13%
Arts and Humanities 1 4%
Environmental Science 1 4%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 1 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 February 2022.
All research outputs
#6,270,575
of 24,862,067 outputs
Outputs from PLOS ONE
#87,138
of 215,379 outputs
Outputs of similar age
#63,975
of 296,848 outputs
Outputs of similar age from PLOS ONE
#1,382
of 4,859 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 215,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 59% 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 296,848 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 4,859 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 71% of its contemporaries.