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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Toxicology of water.
|
|---|---|
| Chapter number | 2 |
| Book title |
Molecular, Clinical and Environmental Toxicology
|
| Published in |
EXS, April 2012
|
| DOI | 10.1007/978-3-7643-8340-4_2 |
| Pubmed ID | |
| Book ISBNs |
978-3-76-438339-8, 978-3-76-438340-4
|
| Authors |
Xiaowei Zhang, Steve Wiseman, John Giesy |
| Editors |
Andreas Luch |
| Abstract |
To protect the quality of water from toxic pollutants for the health of humans and the environment, two approaches are generally applied in the field of toxicology to predict the effects of pollutants and to monitor the toxic pollutants in water. Here we provide our perspective on state-of-the-art methods to develop water quality criteria and the use of molecular techniques for monitoring water quality. Emphasized is the recent development and application of cell-based assays and small fish model in toxicology research of water. |
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Professor | 2 | 22% |
| Researcher | 2 | 22% |
| Student > Master | 1 | 11% |
| Other | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 33% |
| Environmental Science | 2 | 22% |
| Earth and Planetary Sciences | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 2 | 22% |
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 06 September 2012.
All research outputs
#18,314,922
of 22,678,224 outputs
Outputs from EXS
#71
of 93 outputs
Outputs of similar age
#126,033
of 163,199 outputs
Outputs of similar age from EXS
#8
of 11 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 93 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 163,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.