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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of pharmaceutical, illicit drug, alcohol, nicotine and caffeine levels in wastewater with sale, seizure and consumption data for 8 European cities
|
|---|---|
| Published in |
BMC Public Health, October 2016
|
| DOI | 10.1186/s12889-016-3686-5 |
| Pubmed ID | |
| Authors |
Jose Antonio Baz-Lomba, Stefania Salvatore, Emma Gracia-Lor, Richard Bade, Sara Castiglioni, Erika Castrignanò, Ana Causanilles, Felix Hernandez, Barbara Kasprzyk-Hordern, Juliet Kinyua, Ann-Kathrin McCall, Alexander van Nuijs, Christoph Ort, Benedek G. Plósz, Pedram Ramin, Malcolm Reid, Nikolaos I. Rousis, Yeonsuk Ryu, Pim de Voogt, Jorgen Bramness, Kevin Thomas |
| Abstract |
Monitoring the scale of pharmaceuticals, illicit and licit drugs consumption is important to assess the needs of law enforcement and public health, and provides more information about the different trends within different countries. Community drug use patterns are usually described by national surveys, sales and seizure data. Wastewater-based epidemiology (WBE) has been shown to be a reliable approach complementing such surveys. This study aims to compare and correlate the consumption estimates of pharmaceuticals, illicit drugs, alcohol, nicotine and caffeine from wastewater analysis and other sources of information. Wastewater samples were collected in 2015 from 8 different European cities over a one week period, representing a population of approximately 5 million people. Published pharmaceutical sale, illicit drug seizure and alcohol, tobacco and caffeine use data were used for the comparison. High agreement was found between wastewater and other data sources for pharmaceuticals and cocaine, whereas amphetamines, alcohol and caffeine showed a moderate correlation. methamphetamine and 3,4-methylenedioxymethamphetamine (MDMA) and nicotine did not correlate with other sources of data. Most of the poor correlations were explained as part of the uncertainties related with the use estimates and were improved with other complementary sources of data. This work confirms the promising future of WBE as a complementary approach to obtain a more accurate picture of substance use situation within different communities. Our findings suggest further improvements to reduce the uncertainties associated with both sources of information in order to make the data more comparable. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Norway | 1 | 20% |
| South Africa | 1 | 20% |
| Belgium | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Unknown | 224 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 16% |
| Researcher | 28 | 12% |
| Student > Master | 26 | 12% |
| Student > Bachelor | 17 | 8% |
| Other | 14 | 6% |
| Other | 24 | 11% |
| Unknown | 81 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 24 | 11% |
| Chemistry | 21 | 9% |
| Medicine and Dentistry | 16 | 7% |
| Engineering | 14 | 6% |
| Biochemistry, Genetics and Molecular Biology | 8 | 4% |
| Other | 33 | 15% |
| Unknown | 109 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 05 March 2021.
All research outputs
#2,231,011
of 23,318,744 outputs
Outputs from BMC Public Health
#2,510
of 15,205 outputs
Outputs of similar age
#40,466
of 325,737 outputs
Outputs of similar age from BMC Public Health
#56
of 285 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,205 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 83% 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 325,737 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.