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A novel construct for scaling groundwater–river interactions based on machine-guided hydromorphic classification

Overview of attention for article published in Environmental Research Letters (ERL), September 2021
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1 X user

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17 Mendeley
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Article details
Title
A novel construct for scaling groundwater–river interactions based on machine-guided hydromorphic classification
Published in
Environmental Research Letters (ERL), September 2021
DOI 10.1088/1748-9326/ac24ce
Authors

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 17 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 17 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Other 2 12%
Student > Bachelor 2 12%
Researcher 2 12%
Lecturer 1 6%
Other 2 12%
Unknown 4 24%
Readers by discipline
Readers by discipline Count As %
Earth and Planetary Sciences 5 29%
Environmental Science 3 18%
Biochemistry, Genetics and Molecular Biology 1 6%
Business, Management and Accounting 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 12%
Unknown 4 24%
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 23 September 2021.
All research outputs
#31,202,305
of 34,383,983 outputs
Outputs from Environmental Research Letters (ERL)
#7,171
of 8,018 outputs
Outputs of similar age
#405,553
of 465,023 outputs
Outputs of similar age from Environmental Research Letters (ERL)
#185
of 189 outputs
Altmetric has tracked 34,383,983 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 8,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.2. 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 465,023 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 189 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.