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Deep Sequencing of RNA from Ancient Maize Kernels

Overview of attention for article published in PLOS ONE, January 2013
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
11 X users
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
123 Mendeley
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Title
Deep Sequencing of RNA from Ancient Maize Kernels
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0050961
Pubmed ID
Authors

Sarah L. Fordyce, Maria C. Ávila-Arcos, Morten Rasmussen, Enrico Cappellini, J. Alberto Romero-Navarro, Nathan Wales, David E. Alquezar-Planas, Steven Penfield, Terence A. Brown, Jean-Philippe Vielle-Calzada, Rafael Montiel, Tina Jørgensen, Nancy Odegaard, Michael Jacobs, Bernardo Arriaza, Thomas F. G. Higham, Christopher Bronk Ramsey, Eske Willerslev, M. Thomas P. Gilbert

Abstract

The characterization of biomolecules from ancient samples can shed otherwise unobtainable insights into the past. Despite the fundamental role of transcriptomal change in evolution, the potential of ancient RNA remains unexploited - perhaps due to dogma associated with the fragility of RNA. We hypothesize that seeds offer a plausible refuge for long-term RNA survival, due to the fundamental role of RNA during seed germination. Using RNA-Seq on cDNA synthesized from nucleic acid extracts, we validate this hypothesis through demonstration of partial transcriptomal recovery from two sources of ancient maize kernels. The results suggest that ancient seed transcriptomics may offer a powerful new tool with which to study plant domestication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 <1%
Italy 1 <1%
Uruguay 1 <1%
Germany 1 <1%
Peru 1 <1%
Canada 1 <1%
Denmark 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 113 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 24%
Student > Ph. D. Student 27 22%
Student > Master 7 6%
Other 6 5%
Professor 6 5%
Other 18 15%
Unknown 30 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 46%
Biochemistry, Genetics and Molecular Biology 14 11%
Environmental Science 6 5%
Medicine and Dentistry 3 2%
Arts and Humanities 3 2%
Other 12 10%
Unknown 29 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 31 July 2019.
All research outputs
#1,001,621
of 24,862,067 outputs
Outputs from PLOS ONE
#13,070
of 215,379 outputs
Outputs of similar age
#8,308
of 294,004 outputs
Outputs of similar age from PLOS ONE
#269
of 4,945 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 93% 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 294,004 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 4,945 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 94% of its contemporaries.