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Comparison of pharmaceutical, illicit drug, alcohol, nicotine and caffeine levels in wastewater with sale, seizure and consumption data for 8 European cities

Overview of attention for article published in BMC Public Health, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
5 tweeters

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
117 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Switzerland 1 <1%
Unknown 115 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Researcher 18 15%
Student > Master 15 13%
Other 13 11%
Student > Bachelor 8 7%
Other 14 12%
Unknown 28 24%
Readers by discipline Count As %
Environmental Science 18 15%
Chemistry 15 13%
Medicine and Dentistry 11 9%
Engineering 6 5%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 16 14%
Unknown 47 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 October 2019.
All research outputs
#1,388,300
of 15,992,402 outputs
Outputs from BMC Public Health
#1,596
of 11,007 outputs
Outputs of similar age
#33,630
of 271,170 outputs
Outputs of similar age from BMC Public Health
#2
of 17 outputs
Altmetric has tracked 15,992,402 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,007 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done well, scoring higher than 85% 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 271,170 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.