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Measurement of unsteady loading and power output variability in a micro wind farm model in a wind tunnel

Overview of attention for article published in Experiments in Fluids, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Measurement of unsteady loading and power output variability in a micro wind farm model in a wind tunnel
Published in
Experiments in Fluids, December 2016
DOI 10.1007/s00348-016-2278-6
Authors

Juliaan Bossuyt, Michael F. Howland, Charles Meneveau, Johan Meyers

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 36%
Researcher 10 17%
Student > Master 6 10%
Student > Doctoral Student 2 3%
Student > Bachelor 1 2%
Other 4 7%
Unknown 14 24%
Readers by discipline Count As %
Engineering 32 55%
Computer Science 2 3%
Energy 2 3%
Environmental Science 1 2%
Physics and Astronomy 1 2%
Other 3 5%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 December 2018.
All research outputs
#5,836,371
of 23,117,738 outputs
Outputs from Experiments in Fluids
#123
of 1,289 outputs
Outputs of similar age
#105,953
of 422,219 outputs
Outputs of similar age from Experiments in Fluids
#1
of 14 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,289 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 90% 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 422,219 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 74% of its contemporaries.
We're also able to compare this research output to 14 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.