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Integrated Computational Model of Lung Tissue Bioenergetics

Overview of attention for article published in Frontiers in Physiology, March 2019
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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12 Mendeley
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Title
Integrated Computational Model of Lung Tissue Bioenergetics
Published in
Frontiers in Physiology, March 2019
DOI 10.3389/fphys.2019.00191
Pubmed ID
Authors

Xiao Zhang, Ranjan K. Dash, Anne V. Clough, Dexuan Xie, Elizabeth R. Jacobs, Said H. Audi

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 17%
Student > Ph. D. Student 2 17%
Researcher 2 17%
Lecturer 1 8%
Unknown 5 42%
Readers by discipline Count As %
Engineering 4 33%
Mathematics 1 8%
Medicine and Dentistry 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 5 42%
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 06 April 2019.
All research outputs
#18,676,383
of 23,140,503 outputs
Outputs from Frontiers in Physiology
#8,293
of 13,899 outputs
Outputs of similar age
#266,517
of 351,794 outputs
Outputs of similar age from Frontiers in Physiology
#282
of 414 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,899 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 31st percentile – i.e., 31% 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 351,794 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 414 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.