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Predicting internal bond strength of particleboard under outdoor exposure based on climate data: comparison of multiple linear regression and artificial neural network

Overview of attention for article published in Journal of Wood Science, December 2014
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1 X user
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1 Facebook page

Citations

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18 Dimensions

Readers on

mendeley
9 Mendeley
Title
Predicting internal bond strength of particleboard under outdoor exposure based on climate data: comparison of multiple linear regression and artificial neural network
Published in
Journal of Wood Science, December 2014
DOI 10.1007/s10086-014-1446-7
Authors

Ken Watanabe, Hideaki Korai, Yasuhiro Matsushita, Tomoyuki Hayashi

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 2 22%
Lecturer 2 22%
Student > Master 2 22%
Unknown 1 11%
Readers by discipline Count As %
Engineering 3 33%
Agricultural and Biological Sciences 2 22%
Computer Science 1 11%
Materials Science 1 11%
Chemistry 1 11%
Other 0 0%
Unknown 1 11%
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 15 May 2015.
All research outputs
#17,733,724
of 22,772,779 outputs
Outputs from Journal of Wood Science
#184
of 216 outputs
Outputs of similar age
#247,620
of 361,258 outputs
Outputs of similar age from Journal of Wood Science
#1
of 1 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 216 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 13th percentile – i.e., 13% 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 361,258 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them