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Remote monitoring of building oscillation modes by means of real-time Mid Infrared Digital Holography

Overview of attention for article published in Scientific Reports, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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2 news outlets
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1 X user

Citations

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19 Dimensions

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21 Mendeley
Title
Remote monitoring of building oscillation modes by means of real-time Mid Infrared Digital Holography
Published in
Scientific Reports, April 2016
DOI 10.1038/srep23688
Pubmed ID
Authors

Pasquale Poggi, Massimiliano Locatelli, Eugenio Pugliese, Dario Delle Donne, Giorgio Lacanna, Riccardo Meucci, Maurizio Ripepe

Abstract

Non-destructive measurements of deformations are a quite common application of holography but due to the intrinsic limits in the interferometric technique, those are generally confined only to small targets and in controlled environment. Here we present an advanced technique, based on Mid Infrared Digital Holography (MIR DH), which works in outdoor conditions and provides remote and real-time information on the oscillation modes of large engineering structures. Thanks to the long wavelength of the laser radiation, large areas of buildings can be simultaneously mapped with sub-micrometric resolution in terms of their amplitude and frequency oscillation modes providing all the modal parameters vital for all the correct prevention strategies when the functionality and the health status of the structures have to be evaluated. The existing experimental techniques used to evaluate the fundamental modes of a structure are based either on seismometric sensors or on Ground-based Synthetic Aperture Radar (GbSAR). Such devices have both serious drawbacks, which prevent their application at a large scale or in the short term. We here demonstrate that the MIR DH based technique can fully overcome these limitations and has the potential to represent a breakthrough advance in the field of dynamic characterization of large structures.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Italy 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 38%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Student > Master 2 10%
Professor 1 5%
Other 1 5%
Unknown 4 19%
Readers by discipline Count As %
Engineering 5 24%
Earth and Planetary Sciences 4 19%
Physics and Astronomy 4 19%
Veterinary Science and Veterinary Medicine 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 October 2016.
All research outputs
#1,776,187
of 22,881,964 outputs
Outputs from Scientific Reports
#16,324
of 123,614 outputs
Outputs of similar age
#31,536
of 300,266 outputs
Outputs of similar age from Scientific Reports
#472
of 3,192 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,614 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 86% 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 300,266 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 3,192 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.