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Identifying reaction modules in metabolic pathways: bioinformatic deduction and experimental validation of a new putative route in purine catabolism

Overview of attention for article published in BMC Systems Biology, October 2013
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1 X user

Citations

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Title
Identifying reaction modules in metabolic pathways: bioinformatic deduction and experimental validation of a new putative route in purine catabolism
Published in
BMC Systems Biology, October 2013
DOI 10.1186/1752-0509-7-99
Pubmed ID
Authors

Matthieu Barba, Raphaël Dutoit, Christianne Legrain, Bernard Labedan

Abstract

Enzymes belonging to mechanistically diverse superfamilies often display similar catalytic mechanisms. We previously observed such an association in the case of the cyclic amidohydrolase superfamily whose members play a role in related steps of purine and pyrimidine metabolic pathways. To establish a possible link between enzyme homology and chemical similarity, we investigated further the neighbouring steps in the respective pathways.

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

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Singapore 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 35%
Student > Ph. D. Student 11 35%
Student > Master 3 10%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 1 3%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Biochemistry, Genetics and Molecular Biology 9 29%
Computer Science 5 16%
Mathematics 1 3%
Engineering 1 3%
Other 0 0%
Unknown 3 10%
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 09 October 2013.
All research outputs
#15,708,425
of 23,344,526 outputs
Outputs from BMC Systems Biology
#646
of 1,143 outputs
Outputs of similar age
#129,601
of 209,482 outputs
Outputs of similar age from BMC Systems Biology
#15
of 26 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 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 209,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.