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A method for testing whether model predictions fall within a prescribed factor of true values, with an application to pesticide leaching

Overview of attention for article published in Ecological Modelling, May 1990
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
15 Mendeley
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Title
A method for testing whether model predictions fall within a prescribed factor of true values, with an application to pesticide leaching
Published in
Ecological Modelling, May 1990
DOI 10.1016/0304-3800(90)90058-o
Authors

Rudolph S. Parrish, Charles N. Smith

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Professor 3 20%
Student > Ph. D. Student 3 20%
Student > Bachelor 2 13%
Other 1 7%
Other 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Mathematics 2 13%
Chemical Engineering 2 13%
Earth and Planetary Sciences 2 13%
Nursing and Health Professions 1 7%
Other 3 20%
Unknown 1 7%
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 30 July 2013.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Ecological Modelling
#773
of 2,342 outputs
Outputs of similar age
#4,554
of 15,242 outputs
Outputs of similar age from Ecological Modelling
#2
of 3 outputs
Altmetric has tracked 25,373,627 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 2,342 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 15,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.