↓ Skip to main content

Prediction Experiment of Extremely Intense Rainstorm by a Very-Fine Mesh Primitive Equation Model

Overview of attention for article published in Journal of the Meteorological Society of Japan, January 1984
Altmetric Badge

Mentioned by

policy
1 policy source

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prediction Experiment of Extremely Intense Rainstorm by a Very-Fine Mesh Primitive Equation Model
Published in
Journal of the Meteorological Society of Japan, January 1984
DOI 10.2151/jmsj1965.62.2_273
Authors

K. Ninomiya, H. Koga, Y. Yamagishi, Y. Tatsumi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Earth and Planetary Sciences 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 1986.
All research outputs
#8,731,423
of 25,852,155 outputs
Outputs from Journal of the Meteorological Society of Japan
#173
of 1,033 outputs
Outputs of similar age
#6,670
of 35,921 outputs
Outputs of similar age from Journal of the Meteorological Society of Japan
#1
of 10 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,033 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 46th percentile – i.e., 46% 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 35,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them