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3-Econsystems: MicroRNAs, Receptors, and Latent Viruses; Some Insights Biology Can Gain from Economic Theory

Overview of attention for article published in Frontiers in Microbiology, March 2016
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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 (97th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
3 X users
patent
1 patent
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
8 Mendeley
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Title
3-Econsystems: MicroRNAs, Receptors, and Latent Viruses; Some Insights Biology Can Gain from Economic Theory
Published in
Frontiers in Microbiology, March 2016
DOI 10.3389/fmicb.2016.00369
Pubmed ID
Authors

Hanan Polansky, Adrian Javaherian

Abstract

This mini-review describes three biological systems. All three include competing molecules and a limiting molecule that binds the competing molecules. Such systems are extensively researched by economists. In fact, the issue of limited resources is the defining feature of economic systems. Therefore, we call these systems "econsystems." In an econsystem, the allocation of the limiting molecule between the competing molecules determines the behavior of the system. A cell is an example of an econsystem. Therefore, a change in the allocation of a limiting molecule as a result of, for instance, an abnormal change in the concentration of one of the competing molecules, may result in abnormal cellular behavior, and disease. The first econsystem described in this mini-review includes a long non-coding RNA and a messenger RNA (lncRNA and mRNA). The limiting molecule is a microRNA (miRNA). The lncRNA and mRNA are known as competing endogenous RNAs (ceRNAs). The second econsystem includes two receptors, and the limiting molecule is a ligand. The third econsystem includes a cis-regulatory element of a latent virus and that of a human gene. The limiting molecule is a transcription complex that binds both cis-elements.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Student > Master 2 25%
Professor > Associate Professor 1 13%
Professor 1 13%
Unknown 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Neuroscience 2 25%
Agricultural and Biological Sciences 1 13%
Veterinary Science and Veterinary Medicine 1 13%
Medicine and Dentistry 1 13%
Other 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 86. 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 12 January 2019.
All research outputs
#420,785
of 22,856,968 outputs
Outputs from Frontiers in Microbiology
#211
of 24,866 outputs
Outputs of similar age
#8,687
of 300,567 outputs
Outputs of similar age from Frontiers in Microbiology
#13
of 555 outputs
Altmetric has tracked 22,856,968 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 24,866 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 99% 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 300,567 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 555 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 97% of its contemporaries.