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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Web‐Based Decision Support System for Assessing Regional Water‐Quality Conditions and Management Actions1
|
|---|---|
| Published in |
Journal of the American Water Resources Association, August 2011
|
| DOI | 10.1111/j.1752-1688.2011.00573.x |
| Pubmed ID | |
| Authors |
Nathaniel L. Booth, Eric J. Everman, I‐Lin Kuo, Lori Sprague, Lorraine Murphy |
| Abstract |
The U.S. Geological Survey National Water Quality Assessment Program has completed a number of water-quality prediction models for nitrogen and phosphorus for the conterminous United States as well as for regional areas of the nation. In addition to estimating water-quality conditions at unmonitored streams, the calibrated SPAtially Referenced Regressions On Watershed attributes (SPARROW) models can be used to produce estimates of yield, flow-weighted concentration, or load of constituents in water under various land-use condition, change, or resource management scenarios. A web-based decision support infrastructure has been developed to provide access to SPARROW simulation results on stream water-quality conditions and to offer sophisticated scenario testing capabilities for research and water-quality planning via a graphical user interface with familiar controls. The SPARROW decision support system (DSS) is delivered through a web browser over an Internet connection, making it widely accessible to the public in a format that allows users to easily display water-quality conditions and to describe, test, and share modeled scenarios of future conditions. SPARROW models currently supported by the DSS are based on the modified digital versions of the 1:500,000-scale River Reach File (RF1) and 1:100,000-scale National Hydrography Dataset (medium-resolution, NHDPlus) stream networks. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Iran, Islamic Republic of | 1 | 1% |
| Unknown | 87 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 21% |
| Student > Master | 19 | 21% |
| Researcher | 14 | 15% |
| Student > Bachelor | 6 | 7% |
| Other | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 24 | 26% |
| Engineering | 17 | 18% |
| Computer Science | 10 | 11% |
| Agricultural and Biological Sciences | 5 | 5% |
| Earth and Planetary Sciences | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 21 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 2012.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Journal of the American Water Resources Association
#351
of 1,176 outputs
Outputs of similar age
#42,990
of 131,574 outputs
Outputs of similar age from Journal of the American Water Resources Association
#2
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,176 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 69% 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 131,574 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 65% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.