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Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer and Surface-Layer Schemes in the Weather Research and Forecasting Model

Overview of attention for article published in Boundary-Layer Meteorology, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 719)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
Title
Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer and Surface-Layer Schemes in the Weather Research and Forecasting Model
Published in
Boundary-Layer Meteorology, July 2016
DOI 10.1007/s10546-016-0185-2
Authors

Ben Yang, Yun Qian, Larry K. Berg, Po-Lun Ma, Sonia Wharton, Vera Bulaevskaya, Huiping Yan, Zhangshuan Hou, William J. Shaw

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 10 20%
Student > Doctoral Student 5 10%
Student > Postgraduate 4 8%
Professor > Associate Professor 3 6%
Other 6 12%
Unknown 7 14%
Readers by discipline Count As %
Earth and Planetary Sciences 20 41%
Environmental Science 9 18%
Engineering 3 6%
Physics and Astronomy 3 6%
Mathematics 2 4%
Other 4 8%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 August 2016.
All research outputs
#4,191,804
of 22,882,389 outputs
Outputs from Boundary-Layer Meteorology
#33
of 719 outputs
Outputs of similar age
#76,378
of 364,410 outputs
Outputs of similar age from Boundary-Layer Meteorology
#1
of 17 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 719 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 94% 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 364,410 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 77% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.