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On the Origin of DNA Genomes: Evolution of the Division of Labor between Template and Catalyst in Model Replicator Systems

Overview of attention for article published in PLoS Computational Biology, March 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users
googleplus
3 Google+ users

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
7 CiteULike
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Title
On the Origin of DNA Genomes: Evolution of the Division of Labor between Template and Catalyst in Model Replicator Systems
Published in
PLoS Computational Biology, March 2011
DOI 10.1371/journal.pcbi.1002024
Pubmed ID
Authors

Nobuto Takeuchi, Paulien Hogeweg, Eugene V. Koonin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Brazil 2 2%
Switzerland 1 1%
United Kingdom 1 1%
Turkey 1 1%
Denmark 1 1%
Argentina 1 1%
Unknown 79 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 26%
Student > Ph. D. Student 19 21%
Student > Bachelor 12 13%
Professor 8 9%
Student > Master 7 8%
Other 11 12%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 51%
Biochemistry, Genetics and Molecular Biology 12 13%
Physics and Astronomy 6 7%
Engineering 4 4%
Chemistry 3 3%
Other 9 10%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 June 2020.
All research outputs
#7,778,510
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#5,159
of 8,960 outputs
Outputs of similar age
#40,836
of 119,416 outputs
Outputs of similar age from PLoS Computational Biology
#25
of 63 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 119,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 63 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 60% of its contemporaries.