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MetaPathways: a modular pipeline for constructing pathway/genome databases from environmental sequence information

Overview of attention for article published in BMC Bioinformatics, June 2013
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
googleplus
1 Google+ user

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
229 Mendeley
citeulike
7 CiteULike
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Title
MetaPathways: a modular pipeline for constructing pathway/genome databases from environmental sequence information
Published in
BMC Bioinformatics, June 2013
DOI 10.1186/1471-2105-14-202
Pubmed ID
Authors

Kishori M Konwar, Niels W Hanson, Antoine P Pagé, Steven J Hallam

Abstract

A central challenge to understanding the ecological and biogeochemical roles of microorganisms in natural and human engineered ecosystems is the reconstruction of metabolic interaction networks from environmental sequence information. The dominant paradigm in metabolic reconstruction is to assign functional annotations using BLAST. Functional annotations are then projected onto symbolic representations of metabolism in the form of KEGG pathways or SEED subsystems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
United States 4 2%
France 2 <1%
Austria 1 <1%
Germany 1 <1%
Sweden 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Other 4 2%
Unknown 209 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 24%
Researcher 52 23%
Student > Master 31 14%
Student > Bachelor 19 8%
Student > Doctoral Student 15 7%
Other 37 16%
Unknown 20 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 119 52%
Biochemistry, Genetics and Molecular Biology 24 10%
Environmental Science 17 7%
Computer Science 12 5%
Immunology and Microbiology 8 3%
Other 24 10%
Unknown 25 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 28 December 2013.
All research outputs
#1,997,123
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#500
of 7,387 outputs
Outputs of similar age
#17,716
of 198,339 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 90 outputs
Altmetric has tracked 23,344,526 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 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 particularly well, scoring higher than 93% 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 198,339 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 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.