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A Machine Learning Approach for Locating Acoustic Emission

Overview of attention for article published in ADS, October 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
61 Mendeley
Title
A Machine Learning Approach for Locating Acoustic Emission
Published in
ADS, October 2010
DOI 10.1155/2010/895486
Authors

NF Ince, Chu-Shu Kao, M Kaveh, A Tewfik, JF Labuz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Researcher 10 16%
Student > Master 10 16%
Professor 4 7%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 14 23%
Readers by discipline Count As %
Engineering 29 48%
Computer Science 6 10%
Unspecified 1 2%
Earth and Planetary Sciences 1 2%
Mathematics 1 2%
Other 2 3%
Unknown 21 34%
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 27 April 2018.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from ADS
#7,327
of 25,974 outputs
Outputs of similar age
#40,144
of 109,539 outputs
Outputs of similar age from ADS
#103
of 342 outputs
Altmetric has tracked 25,374,647 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 25,974 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 32nd percentile – i.e., 32% 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 109,539 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 342 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.