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Determining the best combination of MODIS data as input to ANN models for simulation of rainfall

Overview of attention for article published in Theoretical and Applied Climatology, May 2019
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1 X user

Citations

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Title
Determining the best combination of MODIS data as input to ANN models for simulation of rainfall
Published in
Theoretical and Applied Climatology, May 2019
DOI 10.1007/s00704-019-02884-y
Authors

Mohammad Khedmatkar Bolandakhtar, Saeed Golian

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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 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 %
Researcher 2 40%
Student > Bachelor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Business, Management and Accounting 1 20%
Agricultural and Biological Sciences 1 20%
Earth and Planetary Sciences 1 20%
Unknown 2 40%
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 29 May 2019.
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
#264,335
of 352,123 outputs
Outputs of similar age from Theoretical and Applied Climatology
#14
of 23 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 352,123 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.