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Metabolic pathway databases and model repositories

Overview of attention for article published in Quantitative Biology, March 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Citations

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11 Dimensions

Readers on

mendeley
49 Mendeley
Title
Metabolic pathway databases and model repositories
Published in
Quantitative Biology, March 2018
DOI 10.1007/s40484-017-0108-3
Authors

Abraham A. Labena, Yi‐Zhou Gao, Chuan Dong, Hong‐li Hua, Feng‐Biao Guo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 8 16%
Student > Bachelor 6 12%
Student > Ph. D. Student 5 10%
Student > Postgraduate 3 6%
Other 9 18%
Unknown 10 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 37%
Agricultural and Biological Sciences 5 10%
Computer Science 4 8%
Engineering 3 6%
Environmental Science 2 4%
Other 7 14%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 September 2017.
All research outputs
#14,816,453
of 24,833,004 outputs
Outputs from Quantitative Biology
#43
of 89 outputs
Outputs of similar age
#178,114
of 336,411 outputs
Outputs of similar age from Quantitative Biology
#1
of 1 outputs
Altmetric has tracked 24,833,004 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 89 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 50% 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 336,411 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them