| Title |
Seasonal dynamics of freshwater pathogens as measured by microarray at Lake Sapanca, a drinking water source in the north-eastern part of Turkey
|
|---|---|
| Published in |
Environmental Monitoring and Assessment, December 2017
|
| DOI | 10.1007/s10661-017-6314-7 |
| Pubmed ID | |
| Authors |
Reyhan Akçaalan, Meric Albay, Latife Koker, Julia Baudart, Delphine Guillebault, Sabine Fischer, Wilfried Weigel, Linda K. Medlin |
| Abstract |
Monitoring drinking water quality is an important public health issue. Two objectives from the 4 years, six nations, EU Project μAqua were to develop hierarchically specific probes to detect and quantify pathogens in drinking water using a PCR-free microarray platform and to design a standardised water sampling program from different sources in Europe to obtain sufficient material for downstream analysis. Our phylochip contains barcodes (probes) that specifically identify freshwater pathogens that are human health risks in a taxonomic hierarchical fashion such that if species is present, the entire taxonomic hierarchy (genus, family, order, phylum, kingdom) leading to it must also be present, which avoids false positives. Molecular tools are more rapid, accurate and reliable than traditional methods, which means faster mitigation strategies with less harm to humans and the community. We present microarray results for the presence of freshwater pathogens from a Turkish lake used drinking water and inferred cyanobacterial cell equivalents from samples concentrated from 40 into 1 L in 45 min using hollow fibre filters. In two companion studies from the same samples, cyanobacterial toxins were analysed using chemical methods and those dates with highest toxin values also had highest cell equivalents as inferred from this microarray study. |
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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Other | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 24% |
| Environmental Science | 4 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
| Economics, Econometrics and Finance | 2 | 10% |
| Decision Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 24% |
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 24 December 2017.
All research outputs
#16,172,769
of 23,854,458 outputs
Outputs from Environmental Monitoring and Assessment
#1,407
of 2,748 outputs
Outputs of similar age
#275,495
of 446,911 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#20
of 54 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,748 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 34th percentile – i.e., 34% 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 446,911 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.