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Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts

Overview of attention for article published in Environmental Modelling & Software, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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4 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts
Published in
Environmental Modelling & Software, January 2021
DOI 10.1016/j.envsoft.2020.104927
Authors

David Blodgett, J. Michael Johnson, Mark Sondheim, Michael Wieczorek, Nels Frazier

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Unspecified 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 6 33%
Readers by discipline Count As %
Engineering 6 33%
Environmental Science 2 11%
Arts and Humanities 1 6%
Unspecified 1 6%
Earth and Planetary Sciences 1 6%
Other 1 6%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 September 2022.
All research outputs
#8,433,608
of 25,387,668 outputs
Outputs from Environmental Modelling & Software
#605
of 1,539 outputs
Outputs of similar age
#196,797
of 519,474 outputs
Outputs of similar age from Environmental Modelling & Software
#18
of 41 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,539 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 60% 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 519,474 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 61% of its contemporaries.
We're also able to compare this research output to 41 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 56% of its contemporaries.