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Optimization of production parameters of particle gluing on internal bonding strength of particleboards using machine learning technology

Overview of attention for article published in Journal of Wood Science, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
12 Mendeley
Title
Optimization of production parameters of particle gluing on internal bonding strength of particleboards using machine learning technology
Published in
Journal of Wood Science, April 2022
DOI 10.1186/s10086-022-02029-2
Authors

Beilong Zhang, Jun Hua, Liping Cai, Yunbo Gao, Yilin Li

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 %
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Student > Master 1 8%
Unknown 8 67%
Readers by discipline Count As %
Engineering 2 17%
Chemical Engineering 1 8%
Unknown 9 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 August 2023.
All research outputs
#8,203,620
of 24,580,204 outputs
Outputs from Journal of Wood Science
#65
of 235 outputs
Outputs of similar age
#160,251
of 434,500 outputs
Outputs of similar age from Journal of Wood Science
#2
of 2 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 235 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 25th percentile – i.e., 25% 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 434,500 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.