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Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory

Overview of attention for article published in BMC Biology, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

blogs
2 blogs
twitter
23 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory
Published in
BMC Biology, May 2018
DOI 10.1186/s12915-018-0531-6
Pubmed ID
Authors

Eric Bapteste, Philippe Huneman

Abstract

The classic Darwinian theory and the Synthetic evolutionary theory and their linear models, while invaluable to study the origins and evolution of species, are not primarily designed to model the evolution of organisations, typically that of ecosystems, nor that of processes. How could evolutionary theory better explain the evolution of biological complexity and diversity? Inclusive network-based analyses of dynamic systems could retrace interactions between (related or unrelated) components. This theoretical shift from a Tree of Life to a Dynamic Interaction Network of Life, which is supported by diverse molecular, cellular, microbiological, organismal, ecological and evolutionary studies, would further unify evolutionary biology.

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 15 21%
Student > Master 9 13%
Student > Bachelor 8 11%
Professor 4 6%
Other 7 10%
Unknown 9 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 39%
Biochemistry, Genetics and Molecular Biology 20 28%
Environmental Science 2 3%
Immunology and Microbiology 2 3%
Mathematics 1 1%
Other 4 6%
Unknown 14 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 30 May 2020.
All research outputs
#1,006,865
of 17,838,103 outputs
Outputs from BMC Biology
#293
of 1,547 outputs
Outputs of similar age
#27,723
of 289,725 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 17,838,103 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,547 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done well, scoring higher than 81% 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 289,725 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 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them