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Functional Topology Classification of Biological Computing Networks

Overview of attention for article published in Natural Computing, September 2005
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Mentioned by

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1 X user

Readers on

mendeley
32 Mendeley
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3 CiteULike
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Title
Functional Topology Classification of Biological Computing Networks
Published in
Natural Computing, September 2005
DOI 10.1007/s11047-005-3667-6
Authors

Pablo Blinder, Itay Baruchi, Vladislav Volman, Herbert Levine, Danny Baranes, Eshel Ben Jacob

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

Geographical breakdown

Country Count As %
Israel 1 3%
United States 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Professor > Associate Professor 8 25%
Professor 6 19%
Researcher 4 13%
Student > Doctoral Student 3 9%
Other 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 28%
Computer Science 6 19%
Physics and Astronomy 5 16%
Mathematics 3 9%
Engineering 3 9%
Other 6 19%
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 25 January 2015.
All research outputs
#18,390,814
of 22,780,165 outputs
Outputs from Natural Computing
#115
of 144 outputs
Outputs of similar age
#55,127
of 58,587 outputs
Outputs of similar age from Natural Computing
#1
of 1 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 144 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 9th percentile – i.e., 9% 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 58,587 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
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