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Advancing river monitoring using image-based techniques: challenges and opportunities

Overview of attention for article published in Hydrological Sciences Journal, April 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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5 X users

Citations

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1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Advancing river monitoring using image-based techniques: challenges and opportunities
Published in
Hydrological Sciences Journal, April 2024
DOI 10.1080/02626667.2024.2333846
Authors

Salvatore Manfreda, Domenico Miglino, Khim Cathleen Saddi, Seifeddine Jomaa, Anette Eltner, Matthew Perks, Salvador Peña-Haro, Thom Bogaard, Tim H.M. van Emmerik, Stefano Mariani, Ian Maddock, Flavia Tauro, Salvatore Grimaldi, Yijian Zeng, Gil Gonçalves, Dariia Strelnikova, Martina Bussettini, Giulia Marchetti, Barbara Lastoria, Zhongbo Su, Michael Rode

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Professor 2 22%
Lecturer 1 11%
Student > Master 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Environmental Science 2 22%
Engineering 2 22%
Earth and Planetary Sciences 2 22%
Computer Science 1 11%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 March 2024.
All research outputs
#7,182,302
of 25,806,763 outputs
Outputs from Hydrological Sciences Journal
#230
of 870 outputs
Outputs of similar age
#43,558
of 167,003 outputs
Outputs of similar age from Hydrological Sciences Journal
#2
of 17 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 870 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 73% 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 167,003 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 73% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.