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Fully Automated Operational Modal Analysis using multi-stage clustering

Overview of attention for article published in Mechanical Systems & Signal Processing, February 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
107 Mendeley
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Title
Fully Automated Operational Modal Analysis using multi-stage clustering
Published in
Mechanical Systems & Signal Processing, February 2017
DOI 10.1016/j.ymssp.2016.07.031
Authors

Eugen Neu, Frank Janser, Akbar A. Khatibi, Adrian C. Orifici

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 26 24%
Student > Master 18 17%
Researcher 9 8%
Student > Doctoral Student 7 7%
Professor > Associate Professor 6 6%
Other 15 14%
Unknown 26 24%
Readers by discipline Count As %
Engineering 62 58%
Environmental Science 3 3%
Unspecified 2 2%
Business, Management and Accounting 1 <1%
Economics, Econometrics and Finance 1 <1%
Other 3 3%
Unknown 35 33%
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 10 January 2019.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from Mechanical Systems & Signal Processing
#190
of 945 outputs
Outputs of similar age
#149,451
of 425,094 outputs
Outputs of similar age from Mechanical Systems & Signal Processing
#9
of 52 outputs
Altmetric has tracked 25,394,764 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 945 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 425,094 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 50% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.