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Predicting soil erosion potential under CMIP6 climate change scenarios in the Chini Lake Basin, Malaysia

Overview of attention for article published in Geoscience Letters, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
33 Mendeley
Title
Predicting soil erosion potential under CMIP6 climate change scenarios in the Chini Lake Basin, Malaysia
Published in
Geoscience Letters, January 2023
DOI 10.1186/s40562-022-00254-7
Pubmed ID
Authors

Muhammad Rendana, Wan Mohd Razi Idris, Sahibin Abdul Rahim, Zulfahmi Ali Rahman, Tukimat Lihan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 12%
Student > Postgraduate 3 9%
Researcher 3 9%
Student > Ph. D. Student 2 6%
Lecturer 1 3%
Other 3 9%
Unknown 17 52%
Readers by discipline Count As %
Environmental Science 6 18%
Engineering 3 9%
Agricultural and Biological Sciences 2 6%
Computer Science 1 3%
Unspecified 1 3%
Other 2 6%
Unknown 18 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 January 2023.
All research outputs
#14,682,700
of 23,509,253 outputs
Outputs from Geoscience Letters
#79
of 200 outputs
Outputs of similar age
#195,823
of 433,930 outputs
Outputs of similar age from Geoscience Letters
#1
of 10 outputs
Altmetric has tracked 23,509,253 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 56% 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 433,930 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them