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An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

Overview of attention for article published in Journal of Hydrology, June 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
482 Mendeley
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Title
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
Published in
Journal of Hydrology, June 2016
DOI 10.1016/j.jhydrol.2016.03.026
Authors

Simone Fatichi, Enrique R. Vivoni, Fred L. Ogden, Valeriy Y. Ivanov, Benjamin Mirus, David Gochis, Charles W. Downer, Matteo Camporese, Jason H. Davison, Brian Ebel, Norm Jones, Jongho Kim, Giuseppe Mascaro, Richard Niswonger, Pedro Restrepo, Riccardo Rigon, Chaopeng Shen, Mauro Sulis, David Tarboton

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 482 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Belgium 2 <1%
United States 2 <1%
Chile 1 <1%
Unknown 475 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 170 35%
Student > Master 71 15%
Researcher 71 15%
Student > Doctoral Student 41 9%
Professor > Associate Professor 22 5%
Other 57 12%
Unknown 50 10%
Readers by discipline Count As %
Environmental Science 118 24%
Engineering 116 24%
Earth and Planetary Sciences 112 23%
Agricultural and Biological Sciences 18 4%
Computer Science 6 1%
Other 21 4%
Unknown 91 19%

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 29 January 2020.
All research outputs
#4,513,772
of 15,534,842 outputs
Outputs from Journal of Hydrology
#593
of 4,812 outputs
Outputs of similar age
#82,454
of 265,836 outputs
Outputs of similar age from Journal of Hydrology
#12
of 88 outputs
Altmetric has tracked 15,534,842 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,812 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 87% 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 265,836 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 68% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.