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An Experimental Framework for Generating Evolvable Chemical Systems in the Laboratory

Overview of attention for article published in Origins of Life and Evolution of Biospheres, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 476)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
7 news outlets
blogs
4 blogs
twitter
8 X users
facebook
1 Facebook page
q&a
1 Q&A thread

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
52 Mendeley
Title
An Experimental Framework for Generating Evolvable Chemical Systems in the Laboratory
Published in
Origins of Life and Evolution of Biospheres, November 2016
DOI 10.1007/s11084-016-9526-x
Pubmed ID
Authors

David A. Baum, Kalin Vetsigian

Abstract

Most experimental work on the origin of life has focused on either characterizing the chemical synthesis of particular biochemicals and their precursors or on designing simple chemical systems that manifest life-like properties such as self-propagation or adaptive evolution. Here we propose a new class of experiments, analogous to artificial ecosystem selection, where we select for spontaneously forming self-propagating chemical assemblages in the lab and then seek evidence of a response to that selection as a key indicator that life-like chemical systems have arisen. Since surfaces and surface metabolism likely played an important role in the origin of life, a key experimental challenge is to find conditions that foster nucleation and spread of chemical consortia on surfaces. We propose high-throughput screening of a diverse set of conditions in order to identify combinations of "food," energy sources, and mineral surfaces that foster the emergence of surface-associated chemical consortia that are capable of adaptive evolution. Identification of such systems would greatly advance our understanding of the emergence of self-propagating entities and the onset of adaptive evolution during the origin of life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Denmark 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 13 25%
Student > Master 5 10%
Student > Bachelor 4 8%
Student > Postgraduate 4 8%
Other 7 13%
Unknown 5 10%
Readers by discipline Count As %
Chemistry 13 25%
Agricultural and Biological Sciences 11 21%
Biochemistry, Genetics and Molecular Biology 7 13%
Engineering 4 8%
Mathematics 2 4%
Other 8 15%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 81. 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 25 July 2019.
All research outputs
#481,871
of 23,906,448 outputs
Outputs from Origins of Life and Evolution of Biospheres
#9
of 476 outputs
Outputs of similar age
#10,541
of 422,102 outputs
Outputs of similar age from Origins of Life and Evolution of Biospheres
#2
of 9 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 476 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 422,102 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.