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Mapping seagrass habitats of potential suitability using a hybrid machine learning model

Overview of attention for article published in Frontiers in Ecology and Evolution, February 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Mapping seagrass habitats of potential suitability using a hybrid machine learning model
Published in
Frontiers in Ecology and Evolution, February 2023
DOI 10.3389/fevo.2023.1116083
Authors

Bohao He, Yanghe Zhao, Siyu Liu, Shahid Ahmad, Wei Mao

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Lecturer 1 13%
Unknown 4 50%
Readers by discipline Count As %
Environmental Science 2 25%
Earth and Planetary Sciences 1 13%
Design 1 13%
Unknown 4 50%
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 06 February 2023.
All research outputs
#15,148,446
of 23,299,593 outputs
Outputs from Frontiers in Ecology and Evolution
#2,625
of 4,329 outputs
Outputs of similar age
#169,208
of 354,679 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#86
of 297 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,329 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 35th percentile – i.e., 35% 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 354,679 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 297 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 66% of its contemporaries.