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MetaNET - a web-accessible interactive platform for biological metabolic network analysis

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 1,144)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
12 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
2 CiteULike
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Title
MetaNET - a web-accessible interactive platform for biological metabolic network analysis
Published in
BMC Systems Biology, December 2014
DOI 10.1186/s12918-014-0130-2
Pubmed ID
Authors

Pankaj Narang, Shawez Khan, Anmol Jaywant Hemrom, Andrew Michael Lynn

Abstract

Metabolic reactions have been extensively studied and compiled over the last century. These have provided a theoretical base to implement models, simulations of which are used to identify drug targets and optimize metabolic throughput at a systemic level. While tools for the perturbation of metabolic networks are available, their applications are limited and restricted as they require varied dependencies and often a commercial platform for full functionality. We have developed MetaNET, an open source user-friendly platform-independent and web-accessible resource consisting of several pre-defined workflows for metabolic network analysis.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
United States 2 4%
Brazil 1 2%
Colombia 1 2%
Singapore 1 2%
South Africa 1 2%
Unknown 44 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 31%
Student > Ph. D. Student 11 21%
Student > Master 7 13%
Student > Bachelor 4 8%
Other 4 8%
Other 6 12%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 42%
Biochemistry, Genetics and Molecular Biology 9 17%
Computer Science 9 17%
Engineering 2 4%
Environmental Science 1 2%
Other 3 6%
Unknown 6 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 September 2015.
All research outputs
#1,830,390
of 22,487,039 outputs
Outputs from BMC Systems Biology
#39
of 1,144 outputs
Outputs of similar age
#28,222
of 350,309 outputs
Outputs of similar age from BMC Systems Biology
#3
of 107 outputs
Altmetric has tracked 22,487,039 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 96% 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 350,309 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 91% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.