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Modularity and anti-modularity in networks with arbitrary degree distribution

Overview of attention for article published in Biology Direct, May 2010
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1 X user

Citations

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20 Dimensions

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77 Mendeley
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3 CiteULike
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Title
Modularity and anti-modularity in networks with arbitrary degree distribution
Published in
Biology Direct, May 2010
DOI 10.1186/1745-6150-5-32
Pubmed ID
Authors

Arend Hintze, Christoph Adami

Abstract

Much work in systems biology, but also in the analysis of social network and communication and transport infrastructure, involves an in-depth analysis of local and global properties of those networks, and how these properties relate to the function of the network within the integrated system. Most often, systematic controls for such networks are difficult to obtain, because the features of the network under study are thought to be germane to that function. In most such cases, a surrogate network that carries any or all of the features under consideration, while created artificially and in the absence of any selective pressure relating to the function of the network being studied, would be of considerable interest.

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

Geographical breakdown

Country Count As %
United States 6 8%
Brazil 2 3%
Italy 1 1%
United Kingdom 1 1%
South Africa 1 1%
Venezuela, Bolivarian Republic of 1 1%
Mexico 1 1%
Unknown 64 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 34%
Student > Ph. D. Student 15 19%
Professor 7 9%
Professor > Associate Professor 6 8%
Student > Master 5 6%
Other 11 14%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 31%
Neuroscience 7 9%
Physics and Astronomy 6 8%
Computer Science 6 8%
Psychology 5 6%
Other 18 23%
Unknown 11 14%
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 24 August 2019.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Biology Direct
#446
of 537 outputs
Outputs of similar age
#94,477
of 104,214 outputs
Outputs of similar age from Biology Direct
#11
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. 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 104,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.