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Assimilation of Lidar Water Vapour Mixing Ratio and Temperature Profiles into a Convection-Permitting Model

Overview of attention for article published in Journal of the Meteorological Society of Japan, January 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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9 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Assimilation of Lidar Water Vapour Mixing Ratio and Temperature Profiles into a Convection-Permitting Model
Published in
Journal of the Meteorological Society of Japan, January 2020
DOI 10.2151/jmsj.2020-049
Authors

Rohith THUNDATHIL, Thomas SCHWITALLA, Andreas BEHRENDT, Shravan Kumar MUPPA, ADAM Stephan, Volker WULFMEYER

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Doctoral Student 2 17%
Student > Ph. D. Student 2 17%
Other 1 8%
Lecturer > Senior Lecturer 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Earth and Planetary Sciences 6 50%
Environmental Science 1 8%
Physics and Astronomy 1 8%
Medicine and Dentistry 1 8%
Unknown 3 25%
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 24 October 2020.
All research outputs
#16,733,516
of 25,387,668 outputs
Outputs from Journal of the Meteorological Society of Japan
#707
of 1,021 outputs
Outputs of similar age
#282,877
of 473,401 outputs
Outputs of similar age from Journal of the Meteorological Society of Japan
#58
of 71 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,021 research outputs from this source. They receive a mean Attention Score of 3.2. 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 473,401 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.