The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Breakdown of Modularity in Complex Networks
|
|---|---|
| Published in |
Frontiers in Physiology, July 2017
|
| DOI | 10.3389/fphys.2017.00497 |
| Pubmed ID | |
| Authors |
Sergi Valverde |
| Abstract |
The presence of modular organization is a common property of a wide range of complex systems, from cellular or brain networks to technological graphs. Modularity allows some degree of segregation between different parts of the network and has been suggested to be a prerequisite for the evolvability of biological systems. In technology, modularity defines a clear division of tasks and it is an explicit design target. However, many natural and artificial systems experience a breakdown in their modular pattern of connections, which has been associated with failures in hub nodes or the activation of global stress responses. In spite of its importance, no general theory of the breakdown of modularity and its implications has been advanced yet. Here we propose a new, simple model of network landscape where it is possible to exhaustively characterize the breakdown of modularity in a well-defined way. Specifically, by considering the space of minimal Boolean feed-forward networks implementing the 256 Boolean functions with 3 inputs, we were able to relate functional characteristics with the breakdown of modularity. We found that evolution cannot reach maximally modular networks under the presence of functional and cost constraints, implying the breakdown of modularity is an adaptive feature. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 14% |
| Spain | 3 | 7% |
| Mexico | 3 | 7% |
| France | 2 | 5% |
| China | 1 | 2% |
| Switzerland | 1 | 2% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Côte d'Ivoire | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 20 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 62% |
| Scientists | 13 | 31% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 19% |
| Engineering | 4 | 10% |
| Neuroscience | 3 | 7% |
| Social Sciences | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 13 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 20 November 2023.
All research outputs
#1,696,814
of 25,870,142 outputs
Outputs from Frontiers in Physiology
#926
of 15,739 outputs
Outputs of similar age
#31,817
of 329,186 outputs
Outputs of similar age from Frontiers in Physiology
#27
of 273 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,739 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 94% 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 329,186 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 90% of its contemporaries.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.