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A bootstrap method for estimating uncertainty of water quality trends

Overview of attention for article published in Environmental Modelling & Software, November 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
7 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
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Title
A bootstrap method for estimating uncertainty of water quality trends
Published in
Environmental Modelling & Software, November 2015
DOI 10.1016/j.envsoft.2015.07.017
Authors

Robert M. Hirsch, Stacey A. Archfield, Laura A. De Cicco

Twitter Demographics

The data shown below were collected from the profiles of 7 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Unknown 101 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 23%
Student > Ph. D. Student 21 20%
Researcher 20 19%
Other 10 10%
Student > Bachelor 8 8%
Other 12 11%
Unknown 10 10%
Readers by discipline Count As %
Environmental Science 38 36%
Earth and Planetary Sciences 15 14%
Engineering 14 13%
Agricultural and Biological Sciences 8 8%
Computer Science 3 3%
Other 7 7%
Unknown 20 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 September 2015.
All research outputs
#2,602,708
of 12,246,964 outputs
Outputs from Environmental Modelling & Software
#146
of 754 outputs
Outputs of similar age
#51,684
of 242,063 outputs
Outputs of similar age from Environmental Modelling & Software
#8
of 23 outputs
Altmetric has tracked 12,246,964 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 80% 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 242,063 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.