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From Load Estimation to Performance Estimation—From Model-Scale Test to Full-Scale Test: With Special Interest in Asian Region

Overview of attention for article published in Frontiers in Built Environment, February 2017
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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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11 Mendeley
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Title
From Load Estimation to Performance Estimation—From Model-Scale Test to Full-Scale Test: With Special Interest in Asian Region
Published in
Frontiers in Built Environment, February 2017
DOI 10.3389/fbuil.2017.00008
Authors

Yukio Tamura, Kazuyoshi Nishijima, Masahiro Matsui, Pham Van Phuc, Qingshan Yang

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Student > Ph. D. Student 2 18%
Researcher 2 18%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Engineering 6 55%
Earth and Planetary Sciences 1 9%
Arts and Humanities 1 9%
Unknown 3 27%
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 19 February 2017.
All research outputs
#18,531,724
of 22,953,506 outputs
Outputs from Frontiers in Built Environment
#558
of 1,069 outputs
Outputs of similar age
#316,385
of 428,391 outputs
Outputs of similar age from Frontiers in Built Environment
#12
of 19 outputs
Altmetric has tracked 22,953,506 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 1,069 research outputs from this source. They receive a mean Attention Score of 3.0. 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 428,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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.