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Machine learning techniques to predict daily rainfall amount

Overview of attention for article published in Journal of Big Data, December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
188 Mendeley
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Title
Machine learning techniques to predict daily rainfall amount
Published in
Journal of Big Data, December 2021
DOI 10.1186/s40537-021-00545-4
Authors

Chalachew Muluken Liyew, Haileyesus Amsaya Melese

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 188 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 8%
Student > Ph. D. Student 15 8%
Student > Bachelor 7 4%
Lecturer > Senior Lecturer 6 3%
Lecturer 6 3%
Other 25 13%
Unknown 114 61%
Readers by discipline Count As %
Engineering 31 16%
Computer Science 16 9%
Unspecified 6 3%
Earth and Planetary Sciences 6 3%
Agricultural and Biological Sciences 3 2%
Other 12 6%
Unknown 114 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 February 2023.
All research outputs
#4,534,741
of 23,323,574 outputs
Outputs from Journal of Big Data
#74
of 351 outputs
Outputs of similar age
#103,440
of 509,258 outputs
Outputs of similar age from Journal of Big Data
#2
of 11 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 77% of its peers.
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 509,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.