↓ Skip to main content

Multi-mode separation and nonlinear feature extraction of hybrid gear failures in coal cutters using adaptive nonstationary vibration analysis

Overview of attention for article published in Nonlinear Dynamics, November 2015
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
18 Mendeley
Title
Multi-mode separation and nonlinear feature extraction of hybrid gear failures in coal cutters using adaptive nonstationary vibration analysis
Published in
Nonlinear Dynamics, November 2015
DOI 10.1007/s11071-015-2505-3
Authors

Zhixiong Li, Yu Jiang, Xuping Wang, Z. Peng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Doctoral Student 2 11%
Lecturer 1 6%
Professor 1 6%
Student > Master 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Engineering 9 50%
Agricultural and Biological Sciences 1 6%
Unknown 8 44%
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 08 February 2017.
All research outputs
#20,322,106
of 22,865,319 outputs
Outputs from Nonlinear Dynamics
#452
of 536 outputs
Outputs of similar age
#323,867
of 386,633 outputs
Outputs of similar age from Nonlinear Dynamics
#5
of 11 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 536 research outputs from this source. They receive a mean Attention Score of 2.1. 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 386,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.