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Unsteady flows measurements using a calorimetric wall shear stress micro-sensor

Overview of attention for article published in Experiments in Fluids, March 2019
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10 Mendeley
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Title
Unsteady flows measurements using a calorimetric wall shear stress micro-sensor
Published in
Experiments in Fluids, March 2019
DOI 10.1007/s00348-019-2714-5
Authors

Cecile Ghouila-Houri, Abdelkrim Talbi, Romain Viard, Quentin Gallas, Eric Garnier, Alain Merlen, Philippe Pernod

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 30%
Unspecified 1 10%
Other 1 10%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Engineering 4 40%
Biochemistry, Genetics and Molecular Biology 1 10%
Unspecified 1 10%
Physics and Astronomy 1 10%
Business, Management and Accounting 1 10%
Other 0 0%
Unknown 2 20%
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 16 March 2019.
All research outputs
#20,561,572
of 23,136,540 outputs
Outputs from Experiments in Fluids
#992
of 1,289 outputs
Outputs of similar age
#303,507
of 352,438 outputs
Outputs of similar age from Experiments in Fluids
#7
of 24 outputs
Altmetric has tracked 23,136,540 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 1,289 research outputs from this source. They receive a mean Attention Score of 2.5. 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 352,438 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 24 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.