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Topological Cluster Analysis Reveals the Systemic Organization of the Caenorhabditis elegans Connectome

Overview of attention for article published in PLoS Computational Biology, May 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
googleplus
1 Google+ user

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
130 Mendeley
citeulike
1 CiteULike
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Title
Topological Cluster Analysis Reveals the Systemic Organization of the Caenorhabditis elegans Connectome
Published in
PLoS Computational Biology, May 2011
DOI 10.1371/journal.pcbi.1001139
Pubmed ID
Authors

Yunkyu Sohn, Myung-Kyu Choi, Yong-Yeol Ahn, Junho Lee, Jaeseung Jeong

Abstract

The modular organization of networks of individual neurons interwoven through synapses has not been fully explored due to the incredible complexity of the connectivity architecture. Here we use the modularity-based community detection method for directed, weighted networks to examine hierarchically organized modules in the complete wiring diagram (connectome) of Caenorhabditis elegans (C. elegans) and to investigate their topological properties. Incorporating bilateral symmetry of the network as an important cue for proper cluster assignment, we identified anatomical clusters in the C. elegans connectome, including a body-spanning cluster, which correspond to experimentally identified functional circuits. Moreover, the hierarchical organization of the five clusters explains the systemic cooperation (e.g., mechanosensation, chemosensation, and navigation) that occurs among the structurally segregated biological circuits to produce higher-order complex behaviors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Germany 2 2%
Netherlands 1 <1%
India 1 <1%
United Kingdom 1 <1%
Hungary 1 <1%
Korea, Republic of 1 <1%
Singapore 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 113 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 32%
Researcher 24 18%
Student > Master 15 12%
Professor > Associate Professor 10 8%
Professor 9 7%
Other 23 18%
Unknown 8 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 28%
Engineering 13 10%
Computer Science 13 10%
Neuroscience 12 9%
Physics and Astronomy 10 8%
Other 31 24%
Unknown 14 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 November 2012.
All research outputs
#5,329,969
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#4,006
of 9,043 outputs
Outputs of similar age
#26,478
of 124,449 outputs
Outputs of similar age from PLoS Computational Biology
#23
of 60 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 55% 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 124,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 60 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 61% of its contemporaries.