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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A bootstrap method for estimating uncertainty of water quality trends
|
|---|---|
| Published in |
Environmental Modelling & Software, November 2015
|
| DOI | 10.1016/j.envsoft.2015.07.017 |
| Authors |
Robert M. Hirsch, Stacey A. Archfield, Laura A. De Cicco |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Unknown | 158 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 18% |
| Student > Master | 29 | 18% |
| Researcher | 24 | 15% |
| Other | 13 | 8% |
| Student > Bachelor | 10 | 6% |
| Other | 18 | 11% |
| Unknown | 39 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 43 | 27% |
| Earth and Planetary Sciences | 23 | 14% |
| Engineering | 21 | 13% |
| Agricultural and Biological Sciences | 11 | 7% |
| Computer Science | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 50 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 05 September 2015.
All research outputs
#6,313,184
of 25,373,627 outputs
Outputs from Environmental Modelling & Software
#404
of 1,538 outputs
Outputs of similar age
#72,718
of 294,811 outputs
Outputs of similar age from Environmental Modelling & Software
#14
of 34 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,538 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 73% 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 294,811 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 75% of its contemporaries.
We're also able to compare this research output to 34 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 58% of its contemporaries.