↓ Skip to main content

Diversification of self-replicating molecules

Overview of attention for article published in Nature Chemistry, January 2016
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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
9 news outlets
blogs
2 blogs
policy
2 policy sources
twitter
57 X users
facebook
1 Facebook page
googleplus
4 Google+ users
reddit
3 Redditors

Citations

dimensions_citation
182 Dimensions

Readers on

mendeley
282 Mendeley
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
Diversification of self-replicating molecules
Published in
Nature Chemistry, January 2016
DOI 10.1038/nchem.2419
Pubmed ID
Authors

Jan W. Sadownik, Elio Mattia, Piotr Nowak, Sijbren Otto

Abstract

How new species emerge in nature is still incompletely understood and difficult to study directly. Self-replicating molecules provide a simple model that allows us to capture the fundamental processes that occur in species formation. We have been able to monitor in real time and at a molecular level the diversification of self-replicating molecules into two distinct sets that compete for two different building blocks ('food') and so capture an important aspect of the process by which species may arise. The results show that the second replicator set is a descendant of the first and that both sets are kinetic products that oppose the thermodynamic preference of the system. The sets occupy related but complementary food niches. As diversification into sets takes place on the timescale of weeks and can be investigated at the molecular level, this work opens up new opportunities for experimentally investigating the process through which species arise both in real time and with enhanced detail.

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
United States 2 <1%
Netherlands 1 <1%
Australia 1 <1%
Czechia 1 <1%
Portugal 1 <1%
Luxembourg 1 <1%
Poland 1 <1%
Unknown 270 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 29%
Researcher 41 15%
Student > Master 36 13%
Student > Bachelor 35 12%
Student > Doctoral Student 10 4%
Other 39 14%
Unknown 39 14%
Readers by discipline Count As %
Chemistry 152 54%
Physics and Astronomy 22 8%
Biochemistry, Genetics and Molecular Biology 19 7%
Agricultural and Biological Sciences 14 5%
Engineering 8 3%
Other 25 9%
Unknown 42 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 125. 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 20 September 2020.
All research outputs
#340,900
of 25,765,370 outputs
Outputs from Nature Chemistry
#179
of 3,387 outputs
Outputs of similar age
#5,790
of 401,970 outputs
Outputs of similar age from Nature Chemistry
#4
of 54 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,387 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.7. This one has done particularly well, scoring higher than 94% 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 401,970 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 98% of its contemporaries.
We're also able to compare this research output to 54 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 92% of its contemporaries.