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Attention Score in Context
| Title |
Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis
|
|---|---|
| Published in |
Environmental Pollution, February 2014
|
| DOI | 10.1016/j.envpol.2013.12.026 |
| Pubmed ID | |
| Authors |
C.D. Knightes, H.E. Golden, C.A. Journey, G.M. Davis, P.A. Conrads, M. Marvin-DiPasquale, M.E. Brigham, P.M. Bradley |
| Abstract |
Mercury is a ubiquitous global environmental toxicant responsible for most US fish advisories. Processes governing mercury concentrations in rivers and streams are not well understood, particularly at multiple spatial scales. We investigate how insights gained from reach-scale mercury data and model simulations can be applied at broader watershed scales using a spatially and temporally explicit watershed hydrology and biogeochemical cycling model, VELMA. We simulate fate and transport using reach-scale (0.1 km(2)) study data and evaluate applications to multiple watershed scales. Reach-scale VELMA parameterization was applied to two nested sub-watersheds (28 km(2) and 25 km(2)) and the encompassing watershed (79 km(2)). Results demonstrate that simulated flow and total mercury concentrations compare reasonably to observations at different scales, but simulated methylmercury concentrations are out-of-phase with observations. These findings suggest that intricacies of methylmercury biogeochemical cycling and transport are under-represented in VELMA and underscore the complexity of simulating mercury fate and transport. |
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 % |
|---|---|---|
| Unknown | 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 27% |
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 6 | 15% |
| Professor | 4 | 10% |
| Student > Bachelor | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 24% |
| Engineering | 4 | 10% |
| Medicine and Dentistry | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Chemistry | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 February 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Environmental Pollution
#9,041
of 13,433 outputs
Outputs of similar age
#245,192
of 324,060 outputs
Outputs of similar age from Environmental Pollution
#31
of 46 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,433 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.