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NetworkPainter: dynamic intracellular pathway animation in Cytobank

Overview of attention for article published in BMC Bioinformatics, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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13 X users
facebook
2 Facebook pages

Citations

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3 Dimensions

Readers on

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67 Mendeley
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Title
NetworkPainter: dynamic intracellular pathway animation in Cytobank
Published in
BMC Bioinformatics, May 2015
DOI 10.1186/s12859-015-0602-4
Pubmed ID
Authors

Jonathan R Karr, Harendra Guturu, Edward Y Chen, Stuart L Blair, Jonathan M Irish, Nikesh Kotecha, Markus W Covert

Abstract

High-throughput technologies such as flow and mass cytometry have the potential to illuminate cellular networks. However, analyzing the data produced by these technologies is challenging. Visualization is needed to help researchers explore this data. We developed a web-based software program, NetworkPainter, to enable researchers to analyze dynamic cytometry data in the context of pathway diagrams. NetworkPainter provides researchers a graphical interface to draw and "paint" pathway diagrams with experimental data, producing animated diagrams which display the activity of each network node at each time point. NetworkPainter enables researchers to more fully explore multi-parameter, dynamical cytometry data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Cuba 1 1%
Brazil 1 1%
Taiwan 1 1%
Russia 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 61 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 33%
Researcher 21 31%
Professor > Associate Professor 5 7%
Student > Master 5 7%
Other 4 6%
Other 6 9%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 42%
Biochemistry, Genetics and Molecular Biology 9 13%
Immunology and Microbiology 7 10%
Computer Science 6 9%
Medicine and Dentistry 6 9%
Other 8 12%
Unknown 3 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 February 2016.
All research outputs
#4,140,372
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,572
of 7,387 outputs
Outputs of similar age
#51,864
of 268,223 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 125 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 78% 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 268,223 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 80% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.