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Performance evaluation of AR4 Climate Models in simulating daily precipitation over the Indian region using skill scores

Overview of attention for article published in Theoretical and Applied Climatology, March 2014
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Mentioned by

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1 X user

Citations

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27 Dimensions

Readers on

mendeley
43 Mendeley
Title
Performance evaluation of AR4 Climate Models in simulating daily precipitation over the Indian region using skill scores
Published in
Theoretical and Applied Climatology, March 2014
DOI 10.1007/s00704-013-1043-5
Authors

Aavudai Anandhi, Ravi S. Nanjundiah

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 28%
Researcher 6 14%
Student > Master 6 14%
Student > Doctoral Student 2 5%
Lecturer 1 2%
Other 4 9%
Unknown 12 28%
Readers by discipline Count As %
Earth and Planetary Sciences 10 23%
Engineering 8 19%
Environmental Science 4 9%
Computer Science 1 2%
Physics and Astronomy 1 2%
Other 3 7%
Unknown 16 37%
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 14 September 2014.
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
#163,362
of 223,321 outputs
Outputs of similar age from Theoretical and Applied Climatology
#16
of 20 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 223,321 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.