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Artificial Neural Networks for Mapping Coastal Lagoon of Chilika Lake, India, Using Earth Observation Data

Overview of attention for article published in Journal of Marine Science and Engineering, April 2024
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1 X user

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3 Mendeley
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Title
Artificial Neural Networks for Mapping Coastal Lagoon of Chilika Lake, India, Using Earth Observation Data
Published in
Journal of Marine Science and Engineering, April 2024
DOI 10.3390/jmse12050709
Authors

Polina Lemenkova

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Earth and Planetary Sciences 1 33%
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 25 April 2024.
All research outputs
#20,992,299
of 25,784,004 outputs
Outputs from Journal of Marine Science and Engineering
#1,973
of 3,797 outputs
Outputs of similar age
#99,897
of 150,567 outputs
Outputs of similar age from Journal of Marine Science and Engineering
#12
of 14 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,797 research outputs from this source. They receive a mean Attention Score of 3.1. 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 150,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.