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The drag coefficient and settling velocity of natural sediment particles

Overview of attention for article published in Computational Particle Mechanics, January 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#17 of 297)
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
51 Mendeley
Title
The drag coefficient and settling velocity of natural sediment particles
Published in
Computational Particle Mechanics, January 2019
DOI 10.1007/s40571-019-00223-6
Authors

Amin Riazi, Umut Türker

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 12%
Student > Bachelor 4 8%
Researcher 4 8%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 25 49%
Readers by discipline Count As %
Engineering 13 25%
Environmental Science 3 6%
Chemical Engineering 3 6%
Earth and Planetary Sciences 2 4%
Agricultural and Biological Sciences 1 2%
Other 4 8%
Unknown 25 49%
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 23 October 2022.
All research outputs
#6,534,963
of 23,571,271 outputs
Outputs from Computational Particle Mechanics
#17
of 297 outputs
Outputs of similar age
#135,277
of 440,482 outputs
Outputs of similar age from Computational Particle Mechanics
#1
of 15 outputs
Altmetric has tracked 23,571,271 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 297 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done particularly well, scoring higher than 94% 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 440,482 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 69% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.