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Predicting the natural flow regime: models for assessing hydrological alteration in streams

Overview of attention for article published in River Research & Applications, March 2009
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
157 Dimensions

Readers on

mendeley
176 Mendeley
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Title
Predicting the natural flow regime: models for assessing hydrological alteration in streams
Published in
River Research & Applications, March 2009
DOI 10.1002/rra.1247
Authors

Daren M. Carlisle, James Falcone, David M. Wolock, Michael R. Meador, Richard H. Norris

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
Switzerland 2 1%
South Africa 2 1%
Brazil 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Mexico 1 <1%
Canada 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 157 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 26%
Student > Ph. D. Student 40 23%
Student > Master 20 11%
Professor > Associate Professor 9 5%
Student > Doctoral Student 9 5%
Other 28 16%
Unknown 25 14%
Readers by discipline Count As %
Environmental Science 57 32%
Agricultural and Biological Sciences 31 18%
Engineering 28 16%
Earth and Planetary Sciences 21 12%
Computer Science 2 1%
Other 4 2%
Unknown 33 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2012.
All research outputs
#8,543,833
of 25,394,764 outputs
Outputs from River Research & Applications
#302
of 966 outputs
Outputs of similar age
#38,436
of 108,103 outputs
Outputs of similar age from River Research & Applications
#3
of 8 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 966 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 53% 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 108,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.