↓ Skip to main content

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
Altmetric Badge

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 (87th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
292 Dimensions

Readers on

mendeley
638 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 638 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Canada 2 <1%
Belgium 2 <1%
Chile 1 <1%
Unknown 631 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 195 31%
Student > Master 90 14%
Researcher 86 13%
Student > Doctoral Student 53 8%
Professor > Associate Professor 27 4%
Other 88 14%
Unknown 99 16%
Readers by discipline Count As %
Engineering 148 23%
Environmental Science 138 22%
Earth and Planetary Sciences 134 21%
Agricultural and Biological Sciences 25 4%
Computer Science 10 2%
Other 38 6%
Unknown 145 23%

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
#4,937,677
of 16,713,463 outputs
Outputs from Journal of Hydrology
#702
of 5,354 outputs
Outputs of similar age
#83,508
of 267,108 outputs
Outputs of similar age from Journal of Hydrology
#12
of 87 outputs
Altmetric has tracked 16,713,463 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 5,354 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 86% 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 267,108 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 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.