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On PIV random error minimization with optimal POD-based low-order reconstruction

Overview of attention for article published in Experiments in Fluids, March 2015
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1 X user

Citations

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Readers on

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65 Mendeley
Title
On PIV random error minimization with optimal POD-based low-order reconstruction
Published in
Experiments in Fluids, March 2015
DOI 10.1007/s00348-015-1940-8
Authors

Marco Raiola, Stefano Discetti, Andrea Ianiro

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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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 2%
Unknown 62 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 7 11%
Student > Doctoral Student 7 11%
Student > Bachelor 5 8%
Professor 3 5%
Other 9 14%
Unknown 18 28%
Readers by discipline Count As %
Engineering 40 62%
Physics and Astronomy 2 3%
Environmental Science 1 2%
Chemical Engineering 1 2%
Computer Science 1 2%
Other 0 0%
Unknown 20 31%
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 24 March 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Experiments in Fluids
#620
of 1,278 outputs
Outputs of similar age
#192,633
of 263,390 outputs
Outputs of similar age from Experiments in Fluids
#12
of 43 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,278 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 23rd percentile – i.e., 23% 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 263,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 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.