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The feasibility and stability of large complex biological networks: a random matrix approach

Overview of attention for article published in Scientific Reports, May 2018
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1 X user

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95 Mendeley
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Title
The feasibility and stability of large complex biological networks: a random matrix approach
Published in
Scientific Reports, May 2018
DOI 10.1038/s41598-018-26486-2
Pubmed ID
Authors

Lewi Stone

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Researcher 15 16%
Student > Master 10 11%
Student > Bachelor 7 7%
Professor 5 5%
Other 8 8%
Unknown 23 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 18%
Physics and Astronomy 14 15%
Mathematics 7 7%
Environmental Science 7 7%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 14 15%
Unknown 31 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 June 2019.
All research outputs
#21,246,172
of 23,861,318 outputs
Outputs from Scientific Reports
#110,655
of 128,806 outputs
Outputs of similar age
#293,763
of 333,307 outputs
Outputs of similar age from Scientific Reports
#3,021
of 3,510 outputs
Altmetric has tracked 23,861,318 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 128,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one is in the 1st percentile – i.e., 1% 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 333,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,510 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.