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Constitutive Numerical Model of FRCM Strips Under Traction

Overview of attention for article published in Frontiers in Built Environment, May 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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2 X users

Citations

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17 Dimensions

Readers on

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19 Mendeley
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Title
Constitutive Numerical Model of FRCM Strips Under Traction
Published in
Frontiers in Built Environment, May 2020
DOI 10.3389/fbuil.2020.00060
Authors

Alessia Monaco, Giovanni Minafò, Jennifer D’Anna, M. Concetta Oddo, Lidia La Mendola

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Researcher 3 16%
Professor > Associate Professor 1 5%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 6 32%
Readers by discipline Count As %
Engineering 11 58%
Unknown 8 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 12 July 2020.
All research outputs
#15,607,836
of 23,206,358 outputs
Outputs from Frontiers in Built Environment
#353
of 1,090 outputs
Outputs of similar age
#240,862
of 385,400 outputs
Outputs of similar age from Frontiers in Built Environment
#10
of 59 outputs
Altmetric has tracked 23,206,358 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 1,090 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 64% 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 385,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.