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13C metabolic flux analysis: Classification and characterization from the perspective of mathematical modeling and application in physiological research of neural cell

Overview of attention for article published in Frontiers in Molecular Neuroscience, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
7 Mendeley
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Title
13C metabolic flux analysis: Classification and characterization from the perspective of mathematical modeling and application in physiological research of neural cell
Published in
Frontiers in Molecular Neuroscience, September 2022
DOI 10.3389/fnmol.2022.883466
Pubmed ID
Authors

Birui Tian, Meifeng Chen, Lunxian Liu, Bin Rui, Zhouhui Deng, Zhengdong Zhang, Tie Shen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Professor 1 14%
Unknown 4 57%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Chemistry 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2024.
All research outputs
#8,702,820
of 25,784,004 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,279
of 3,378 outputs
Outputs of similar age
#156,172
of 434,624 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#69
of 185 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 60% 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 434,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.