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A Hybrid Wind-Farm Parametrization for Mesoscale and Climate Models

Overview of attention for article published in Boundary-Layer Meteorology, April 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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29 Dimensions

Readers on

mendeley
34 Mendeley
Title
A Hybrid Wind-Farm Parametrization for Mesoscale and Climate Models
Published in
Boundary-Layer Meteorology, April 2018
DOI 10.1007/s10546-018-0351-9
Authors

Yang Pan, Cristina L. Archer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 5 15%
Student > Master 4 12%
Professor 2 6%
Student > Bachelor 2 6%
Other 2 6%
Unknown 11 32%
Readers by discipline Count As %
Energy 8 24%
Engineering 5 15%
Earth and Planetary Sciences 5 15%
Mathematics 2 6%
Environmental Science 1 3%
Other 0 0%
Unknown 13 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 April 2018.
All research outputs
#14,389,551
of 23,045,021 outputs
Outputs from Boundary-Layer Meteorology
#478
of 725 outputs
Outputs of similar age
#187,129
of 329,690 outputs
Outputs of similar age from Boundary-Layer Meteorology
#4
of 5 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 725 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 33rd percentile – i.e., 33% 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 329,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.