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Developing a Lung Model in the Age of COVID-19: A Digital Image Correlation and Inverse Finite Element Analysis Framework

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, October 2021
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1 X user

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44 Mendeley
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Title
Developing a Lung Model in the Age of COVID-19: A Digital Image Correlation and Inverse Finite Element Analysis Framework
Published in
Frontiers in Bioengineering and Biotechnology, October 2021
DOI 10.3389/fbioe.2021.684778
Pubmed ID
Authors

Mohammad Maghsoudi-Ganjeh, Crystal A. Mariano, Samaneh Sattari, Hari Arora, Mona Eskandari

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Researcher 6 14%
Other 3 7%
Student > Doctoral Student 2 5%
Professor 1 2%
Other 3 7%
Unknown 23 52%
Readers by discipline Count As %
Engineering 7 16%
Medicine and Dentistry 5 11%
Psychology 2 5%
Agricultural and Biological Sciences 1 2%
Chemical Engineering 1 2%
Other 2 5%
Unknown 26 59%
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 26 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,764
of 6,955 outputs
Outputs of similar age
#361,095
of 439,956 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#290
of 457 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,955 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% 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 439,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 457 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.