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How accurate is automated gap filling of metabolic models?

Overview of attention for article published in BMC Systems Biology, June 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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37 Dimensions

Readers on

mendeley
94 Mendeley
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Title
How accurate is automated gap filling of metabolic models?
Published in
BMC Systems Biology, June 2018
DOI 10.1186/s12918-018-0593-7
Pubmed ID
Authors

Peter D. Karp, Daniel Weaver, Mario Latendresse

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

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Student > Master 15 16%
Researcher 14 15%
Student > Bachelor 8 9%
Student > Doctoral Student 3 3%
Other 9 10%
Unknown 24 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 24%
Agricultural and Biological Sciences 16 17%
Computer Science 7 7%
Environmental Science 5 5%
Medicine and Dentistry 3 3%
Other 13 14%
Unknown 27 29%
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 31 July 2019.
All research outputs
#15,577,567
of 23,153,184 outputs
Outputs from BMC Systems Biology
#647
of 1,144 outputs
Outputs of similar age
#208,532
of 328,186 outputs
Outputs of similar age from BMC Systems Biology
#14
of 23 outputs
Altmetric has tracked 23,153,184 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 1,144 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 328,186 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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.