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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioaugmentation Mitigates the Impact of Estrogen on Coliform-Grazing Protozoa in Slow Sand Filters
|
|---|---|
| Published in |
Environmental Science & Technology, March 2016
|
| DOI | 10.1021/acs.est.5b05027 |
| Pubmed ID | |
| Authors |
Sarah-Jane Haig, Caroline Gauchotte-Lindsay, Gavin Collins, Christopher Quince |
| Abstract |
Exposure to endocrine-disrupting chemicals (EDCs), such as estrogens, is a growing issue for human and animal health as they have been shown to cause reproductive and developmental abnormalities in wildlife and plants, and have been linked to male infertility disorders in humans. Intensive farming, and weather events such as storms, flash flooding, and landslides, contribute estrogen to waterways used to supply drinking water. This paper explores the impact of estrogen exposure on the performance of slow sand filters (SSFs) used for water treatment. The feasibility and efficacy of SSF bioaugmentation with estrogen-degrading bacteria was also investigated, to determine whether removal of natural estrogens (estrone, estradiol and estriol) and overall SSF performance for drinking water treatment could be improved. Strains for SSF augmentation were isolated from full-scale, municipal SSFs so as to optimise survival in the laboratory-scale SSFs used. Concentrations of the natural estrogens, determined by gas chromatography coupled with mass spectrometry (GC-MS), revealed augmented SSFs reduced the overall estrogenic potency of the supplied water by 25% on average, and removed significantly more estrone and estradiol than non-augmented filters. A negative correlation was found between coliform removal and estrogen concentration in non-augmented filters. This was due to the toxic inhibition of protozoa, indicating that high estrogen concentrations can have functional implications for SSFs (such as impairing coliform removal). Consequently, we suggest that high estrogen concentrations could impact significantly on water quality production, and in particular on pathogen removal in biological water filters. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 3 | 75% |
| France | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Student > Master | 10 | 14% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Researcher | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 20 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 12 | 17% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Agricultural and Biological Sciences | 7 | 10% |
| Engineering | 6 | 8% |
| Medicine and Dentistry | 5 | 7% |
| Other | 10 | 14% |
| Unknown | 25 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 June 2016.
All research outputs
#14,496,767
of 25,411,814 outputs
Outputs from Environmental Science & Technology
#14,832
of 20,697 outputs
Outputs of similar age
#145,068
of 312,929 outputs
Outputs of similar age from Environmental Science & Technology
#141
of 231 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,697 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one is in the 28th percentile – i.e., 28% 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 312,929 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 53% of its contemporaries.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.