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NetworkViewer: visualizing biochemical reaction networks with embedded rendering of molecular interaction rules

Overview of attention for article published in BMC Systems Biology, June 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
4 X users

Citations

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14 Dimensions

Readers on

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20 Mendeley
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Title
NetworkViewer: visualizing biochemical reaction networks with embedded rendering of molecular interaction rules
Published in
BMC Systems Biology, June 2014
DOI 10.1186/1752-0509-8-70
Pubmed ID
Authors

Hsueh-Chien Cheng, Bastian R Angermann, Fengkai Zhang, Martin Meier-Schellersheim

Abstract

Network representations of cell-biological signaling processes frequently contain large numbers of interacting molecular and multi-molecular components that can exist in, and switch between, multiple biochemical and/or structural states. In addition, the interaction categories (associations, dissociations and transformations) in such networks cannot satisfactorily be mapped onto simple arrows connecting pairs of components since their specifications involve information such as reaction rates and conditions with regard to the states of the interacting components. This leads to the challenge of having to reconcile competing objectives: providing a high-level overview without omitting relevant information, and showing interaction specifics while not overwhelming users with too much detail displayed simultaneously. This problem is typically addressed by splitting the information required to understand a reaction network model into several categories that are rendered separately through combinations of visualizations and/or textual and tabular elements, requiring modelers to consult several sources to obtain comprehensive insights into the underlying assumptions of the model.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
United Kingdom 1 5%
Switzerland 1 5%
Brazil 1 5%
Unknown 15 75%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 45%
Researcher 8 40%
Student > Bachelor 1 5%
Professor > Associate Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 40%
Computer Science 3 15%
Biochemistry, Genetics and Molecular Biology 2 10%
Chemistry 2 10%
Environmental Science 1 5%
Other 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 June 2014.
All research outputs
#13,859,387
of 23,881,329 outputs
Outputs from BMC Systems Biology
#455
of 1,126 outputs
Outputs of similar age
#100,414
of 208,620 outputs
Outputs of similar age from BMC Systems Biology
#7
of 27 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 58% 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 208,620 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 27 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 74% of its contemporaries.