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Multi-criterion water quality analysis of the Danube River in Serbia: A visualisation approach

Overview of attention for article published in Water Research, August 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
93 Mendeley
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Title
Multi-criterion water quality analysis of the Danube River in Serbia: A visualisation approach
Published in
Water Research, August 2015
DOI 10.1016/j.watres.2015.03.020
Pubmed ID
Authors

David Walker, Dejana Jakovljević, Dragan Savić, Milan Radovanović

Abstract

River quality analysis is an important activity which, in Serbia, has been performed using the Serbian Water Quality Index (SWQI). This is a measure based on a weighted aggregation of 10 water quality parameters. In this work, alternative methods drawing on visualisation approaches used in multi-criterion decision analysis are applied to the problem of evaluating river quality in the Danube. Two methods are considered: one which constructs a graph using the dominance relation combined with a further multi-criterion ranking method, average rank, and the other in which the dimensionality of the data is reduced using PCA for visualisation. Results for data collected in 2010 are analysed and compared with the corresponding SWQI values for the river in that year, and we find that by employing these methods it is possible to reveal more information within the data than is possible by using SWQI alone.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Turkey 1 1%
United States 1 1%
Colombia 1 1%
Unknown 89 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Student > Master 16 17%
Student > Bachelor 9 10%
Student > Doctoral Student 7 8%
Researcher 7 8%
Other 23 25%
Unknown 10 11%
Readers by discipline Count As %
Environmental Science 26 28%
Engineering 18 19%
Agricultural and Biological Sciences 9 10%
Earth and Planetary Sciences 6 6%
Computer Science 4 4%
Other 15 16%
Unknown 15 16%

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 22 March 2019.
All research outputs
#5,416,966
of 17,060,012 outputs
Outputs from Water Research
#2,019
of 8,418 outputs
Outputs of similar age
#75,355
of 237,422 outputs
Outputs of similar age from Water Research
#6
of 30 outputs
Altmetric has tracked 17,060,012 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,418 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 75% 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 237,422 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 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.