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Application of SDSM and LARS-WG for simulating and downscaling of rainfall and temperature

Overview of attention for article published in Theoretical and Applied Climatology, June 2013
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Mentioned by

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1 YouTube creator

Citations

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160 Dimensions

Readers on

mendeley
212 Mendeley
Title
Application of SDSM and LARS-WG for simulating and downscaling of rainfall and temperature
Published in
Theoretical and Applied Climatology, June 2013
DOI 10.1007/s00704-013-0951-8
Authors

Zulkarnain Hassan, Supiah Shamsudin, Sobri Harun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 24%
Student > Master 30 14%
Student > Bachelor 19 9%
Researcher 15 7%
Student > Doctoral Student 12 6%
Other 31 15%
Unknown 55 26%
Readers by discipline Count As %
Engineering 74 35%
Environmental Science 26 12%
Earth and Planetary Sciences 17 8%
Agricultural and Biological Sciences 17 8%
Unspecified 2 <1%
Other 7 3%
Unknown 69 33%
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 10 March 2015.
All research outputs
#21,178,329
of 23,839,820 outputs
Outputs from Theoretical and Applied Climatology
#1,488
of 1,622 outputs
Outputs of similar age
#174,683
of 198,910 outputs
Outputs of similar age from Theoretical and Applied Climatology
#12
of 14 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 198,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.