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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction and Inference of Flow Duration Curves Using Multioutput Neural Networks
|
|---|---|
| Published in |
Water Resources Research, August 2019
|
| DOI | 10.1029/2018wr024463 |
| Authors |
Scott. C. Worland, Scott Steinschneider, William Asquith, Rodney Knight, Michael Wieczorek |
X Demographics
The data shown below were collected from the profiles of 19 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 | 9 | 47% |
| Germany | 1 | 5% |
| Nepal | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 7 | 37% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 13 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 30% |
| Environmental Science | 9 | 18% |
| Earth and Planetary Sciences | 8 | 16% |
| Computer Science | 3 | 6% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 12 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 December 2019.
All research outputs
#3,097,027
of 23,993,601 outputs
Outputs from Water Resources Research
#648
of 5,071 outputs
Outputs of similar age
#62,622
of 345,428 outputs
Outputs of similar age from Water Resources Research
#19
of 73 outputs
Altmetric has tracked 23,993,601 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,071 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 87% 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 345,428 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 81% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.