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Similarity-based multi-model ensemble approach for 1–15-day advance prediction of monsoon rainfall over India

Overview of attention for article published in Theoretical and Applied Climatology, April 2017
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1 X user

Citations

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5 Mendeley
Title
Similarity-based multi-model ensemble approach for 1–15-day advance prediction of monsoon rainfall over India
Published in
Theoretical and Applied Climatology, April 2017
DOI 10.1007/s00704-017-2109-6
Authors

Neeru Jaiswal, C. M. Kishtawal, Swati Bhomia

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The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Researcher 2 40%
Student > Master 1 20%
Readers by discipline Count As %
Environmental Science 1 20%
Business, Management and Accounting 1 20%
Earth and Planetary Sciences 1 20%
Decision Sciences 1 20%
Engineering 1 20%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 April 2017.
All research outputs
#19,237,853
of 23,839,820 outputs
Outputs from Theoretical and Applied Climatology
#1,351
of 1,622 outputs
Outputs of similar age
#238,045
of 311,744 outputs
Outputs of similar age from Theoretical and Applied Climatology
#23
of 44 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,622 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 8th percentile – i.e., 8% 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 311,744 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.