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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications
|
|---|---|
| Published in |
Water Resources Research, July 2017
|
| DOI | 10.1002/2016wr020328 |
| Authors |
Hilary McMillan, Jan Seibert, Asgeir Petersen‐Overleir, Michel Lang, Paul White, Ton Snelder, Kit Rutherford, Tobias Krueger, Robert Mason, Julie Kiang |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 24% |
| Student > Master | 19 | 17% |
| Researcher | 16 | 14% |
| Student > Doctoral Student | 8 | 7% |
| Student > Bachelor | 4 | 4% |
| Other | 12 | 11% |
| Unknown | 26 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 31 | 28% |
| Environmental Science | 20 | 18% |
| Earth and Planetary Sciences | 13 | 12% |
| Agricultural and Biological Sciences | 4 | 4% |
| Business, Management and Accounting | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 36 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 2023.
All research outputs
#2,714,199
of 25,183,822 outputs
Outputs from Water Resources Research
#522
of 5,199 outputs
Outputs of similar age
#48,877
of 320,685 outputs
Outputs of similar age from Water Resources Research
#11
of 97 outputs
Altmetric has tracked 25,183,822 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,199 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 89% 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 320,685 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 84% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.