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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Streamflow Reconstruction in the Upper Missouri River Basin Using a Novel Bayesian Network Model
|
|---|---|
| Published in |
Water Resources Research, September 2019
|
| DOI | 10.1029/2019wr024901 |
| Authors |
Arun Ravindranath, Naresh Devineni, Upmanu Lall, Edward R. Cook, Greg Pederson, Justin Martin, Connie Woodhouse |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| Korea, Republic of | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 8 | 19% |
| Student > Master | 6 | 14% |
| Professor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 24% |
| Engineering | 8 | 19% |
| Earth and Planetary Sciences | 4 | 10% |
| Unspecified | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 7 | 17% |
| Unknown | 10 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 October 2019.
All research outputs
#4,593,789
of 23,153,849 outputs
Outputs from Water Resources Research
#998
of 4,916 outputs
Outputs of similar age
#90,803
of 340,906 outputs
Outputs of similar age from Water Resources Research
#16
of 60 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,916 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 79% 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 340,906 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 73% of its contemporaries.
We're also able to compare this research output to 60 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 73% of its contemporaries.