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Attention Score in Context
| Title |
Multi-criterion water quality analysis of the Danube River in Serbia: A visualisation approach
|
|---|---|
| Published in |
Water Research, April 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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 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 | 100 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Student > Master | 17 | 16% |
| Student > Bachelor | 11 | 11% |
| Student > Doctoral Student | 8 | 8% |
| Researcher | 8 | 8% |
| Other | 25 | 24% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 29 | 28% |
| Engineering | 20 | 19% |
| Agricultural and Biological Sciences | 9 | 9% |
| Earth and Planetary Sciences | 6 | 6% |
| Computer Science | 4 | 4% |
| Other | 18 | 17% |
| Unknown | 18 | 17% |
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 22 March 2019.
All research outputs
#14,276,973
of 25,371,288 outputs
Outputs from Water Research
#5,552
of 11,873 outputs
Outputs of similar age
#127,904
of 280,120 outputs
Outputs of similar age from Water Research
#29
of 71 outputs
Altmetric has tracked 25,371,288 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 11,873 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 52% 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 280,120 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 53% of its contemporaries.
We're also able to compare this research output to 71 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 59% of its contemporaries.