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Integrating vision‐based AI and large language models for real‐time water pollution surveillance

Overview of attention for article published in Water Environment Research (10614303), August 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
46 Mendeley
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Article details
Title
Integrating vision‐based AI and large language models for real‐time water pollution surveillance
Published in
Water Environment Research (10614303), August 2024
DOI 10.1002/wer.11092
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 2 4%
Professor > Associate Professor 2 4%
Lecturer > Senior Lecturer 1 2%
Other 1 2%
Lecturer 1 2%
Other 3 7%
Unknown 36 78%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 2 4%
Arts and Humanities 1 2%
Chemical Engineering 1 2%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 37 80%
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 13 May 2026.
All research outputs
#22,346,164
of 34,413,214 outputs
Outputs from Water Environment Research (10614303)
#729
of 1,939 outputs
Outputs of similar age
#151,832
of 335,621 outputs
Outputs of similar age from Water Environment Research (10614303)
#3
of 12 outputs
Altmetric has tracked 34,413,214 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,939 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 61% 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 335,621 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 53% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.