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Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis

Overview of attention for article published in Chinese Journal of Mechanical Engineering, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
107 Mendeley
Title
Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis
Published in
Chinese Journal of Mechanical Engineering, May 2017
DOI 10.1007/s10033-017-0150-0
Authors

Wan Zhang, Min-Ping Jia, Lin Zhu, Xiao-An Yan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Student > Master 14 13%
Student > Doctoral Student 11 10%
Researcher 7 7%
Other 5 5%
Other 11 10%
Unknown 35 33%
Readers by discipline Count As %
Engineering 46 43%
Computer Science 11 10%
Nursing and Health Professions 2 2%
Materials Science 2 2%
Social Sciences 1 <1%
Other 3 3%
Unknown 42 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 November 2021.
All research outputs
#4,833,191
of 23,310,485 outputs
Outputs from Chinese Journal of Mechanical Engineering
#9
of 56 outputs
Outputs of similar age
#83,637
of 310,793 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#1
of 6 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 310,793 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 72% of its contemporaries.
We're also able to compare this research output to 6 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