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Predicting high-frequency nutrient dynamics in the Danube River with surrogate models using sensors and Random Forest

Overview of attention for article published in Frontiers in Water, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Predicting high-frequency nutrient dynamics in the Danube River with surrogate models using sensors and Random Forest
Published in
Frontiers in Water, August 2022
DOI 10.3389/frwa.2022.894548
Authors

Yen Binh Tran, Leonardo F. Arias-Rodriguez, Jingshui Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Unspecified 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Agricultural and Biological Sciences 1 25%
Computer Science 1 25%
Unknown 1 25%
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 12 October 2022.
All research outputs
#13,868,036
of 23,509,982 outputs
Outputs from Frontiers in Water
#170
of 566 outputs
Outputs of similar age
#178,528
of 433,307 outputs
Outputs of similar age from Frontiers in Water
#20
of 69 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 566 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 69% 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 433,307 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 56% of its contemporaries.
We're also able to compare this research output to 69 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 71% of its contemporaries.