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Metabolic pathways for the whole community

Overview of attention for article published in BMC Genomics, July 2014
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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 (81st percentile)

Mentioned by

twitter
6 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
143 Mendeley
citeulike
3 CiteULike
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Title
Metabolic pathways for the whole community
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-619
Pubmed ID
Authors

Niels W Hanson, Kishori M Konwar, Alyse K Hawley, Tomer Altman, Peter D Karp, Steven J Hallam

Abstract

A convergence of high-throughput sequencing and computational power is transforming biology into information science. Despite these technological advances, converting bits and bytes of sequence information into meaningful insights remains a challenging enterprise. Biological systems operate on multiple hierarchical levels from genomes to biomes. Holistic understanding of biological systems requires agile software tools that permit comparative analyses across multiple information levels (DNA, RNA, protein, and metabolites) to identify emergent properties, diagnose system states, or predict responses to environmental change.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Mexico 1 <1%
Belgium 1 <1%
United States 1 <1%
Other 1 <1%
Unknown 133 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 29%
Researcher 28 20%
Student > Master 19 13%
Student > Bachelor 8 6%
Student > Doctoral Student 6 4%
Other 24 17%
Unknown 17 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 45%
Biochemistry, Genetics and Molecular Biology 17 12%
Environmental Science 11 8%
Computer Science 10 7%
Engineering 6 4%
Other 13 9%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2023.
All research outputs
#5,260,170
of 25,813,008 outputs
Outputs from BMC Genomics
#1,986
of 11,331 outputs
Outputs of similar age
#47,295
of 240,232 outputs
Outputs of similar age from BMC Genomics
#51
of 276 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,331 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 240,232 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 276 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.