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Metabolic and signalling network maps integration: application to cross-talk studies and omics data analysis in cancer

Overview of attention for article published in BMC Bioinformatics, April 2019
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Mentioned by

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1 X user

Citations

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13 Dimensions

Readers on

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46 Mendeley
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Title
Metabolic and signalling network maps integration: application to cross-talk studies and omics data analysis in cancer
Published in
BMC Bioinformatics, April 2019
DOI 10.1186/s12859-019-2682-z
Pubmed ID
Authors

Nicolas Sompairac, Jennifer Modamio, Emmanuel Barillot, Ronan M. T. Fleming, Andrei Zinovyev, Inna Kuperstein

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Student > Master 9 20%
Researcher 4 9%
Student > Bachelor 2 4%
Student > Postgraduate 2 4%
Other 6 13%
Unknown 11 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Agricultural and Biological Sciences 9 20%
Computer Science 5 11%
Medicine and Dentistry 3 7%
Physics and Astronomy 2 4%
Other 4 9%
Unknown 14 30%
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 03 June 2020.
All research outputs
#15,708,425
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#5,490
of 7,387 outputs
Outputs of similar age
#218,714
of 350,921 outputs
Outputs of similar age from BMC Bioinformatics
#121
of 176 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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 is in the 17th percentile – i.e., 17% 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 350,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.