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Dissolved oxygen concentration inversion based on Himawari-8 data and deep learning: a case study of lake Taihu

Overview of attention for article published in Frontiers in Environmental Science, October 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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6 Mendeley
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Title
Dissolved oxygen concentration inversion based on Himawari-8 data and deep learning: a case study of lake Taihu
Published in
Frontiers in Environmental Science, October 2023
DOI 10.3389/fenvs.2023.1230778
Authors

Kaifang Shi, Qi Lang, Peng Wang, Wenhao Yang, Guoxin Chen, Hang Yin, Qian Zhang, Wei Li, Haozhi Wang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 1 17%
Earth and Planetary Sciences 1 17%
Engineering 1 17%
Unknown 3 50%
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 03 October 2023.
All research outputs
#22,005,873
of 24,552,012 outputs
Outputs from Frontiers in Environmental Science
#2,238
of 4,316 outputs
Outputs of similar age
#131,604
of 163,296 outputs
Outputs of similar age from Frontiers in Environmental Science
#22
of 103 outputs
Altmetric has tracked 24,552,012 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,316 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 163,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 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.