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Rosen’s (M,R) system in process algebra

Overview of attention for article published in BMC Systems Biology, November 2013
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Rosen’s (M,R) system in process algebra
Published in
BMC Systems Biology, November 2013
DOI 10.1186/1752-0509-7-128
Pubmed ID
Authors

Derek Gatherer, Vashti Galpin

Abstract

Robert Rosen's Metabolism-Replacement, or (M,R), system can be represented as a compact network structure with a single source and three products derived from that source in three consecutive reactions. (M,R) has been claimed to be non-reducible to its components and algorithmically non-computable, in the sense of not being evaluable as a function by a Turing machine. If (M,R)-like structures are present in real biological networks, this suggests that many biological networks will be non-computable, with implications for those branches of systems biology that rely on in silico modelling for predictive purposes.

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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 4%
Mexico 1 4%
Brazil 1 4%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 38%
Student > Master 4 17%
Student > Bachelor 3 13%
Student > Ph. D. Student 2 8%
Other 2 8%
Other 3 13%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 6 25%
Environmental Science 4 17%
Agricultural and Biological Sciences 4 17%
Philosophy 3 13%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 4 17%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 March 2021.
All research outputs
#16,045,990
of 25,371,288 outputs
Outputs from BMC Systems Biology
#556
of 1,132 outputs
Outputs of similar age
#186,149
of 315,668 outputs
Outputs of similar age from BMC Systems Biology
#24
of 57 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 46th percentile – i.e., 46% 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 315,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 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 54% of its contemporaries.