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Monitoring Mangrove Forest Degradation and Regeneration: Landsat Time Series Analysis of Moisture and Vegetation Indices at Rabigh Lagoon, Red Sea

Overview of attention for article published in Forests, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
135 Mendeley
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Title
Monitoring Mangrove Forest Degradation and Regeneration: Landsat Time Series Analysis of Moisture and Vegetation Indices at Rabigh Lagoon, Red Sea
Published in
Forests, January 2021
DOI 10.3390/f12010052
Authors

Mohammed Othman Aljahdali, Sana Munawar, Waseem Razzaq Khan

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 12%
Student > Bachelor 14 10%
Student > Ph. D. Student 12 9%
Researcher 11 8%
Lecturer 6 4%
Other 11 8%
Unknown 65 48%
Readers by discipline Count As %
Environmental Science 16 12%
Earth and Planetary Sciences 14 10%
Agricultural and Biological Sciences 13 10%
Engineering 8 6%
Social Sciences 4 3%
Other 14 10%
Unknown 66 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 January 2023.
All research outputs
#8,467,643
of 25,473,687 outputs
Outputs from Forests
#1,150
of 4,532 outputs
Outputs of similar age
#197,248
of 520,364 outputs
Outputs of similar age from Forests
#50
of 182 outputs
Altmetric has tracked 25,473,687 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,532 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 74% 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 520,364 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 61% of its contemporaries.
We're also able to compare this research output to 182 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.