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Prediction of designer drugs: Synthesis and spectroscopic analysis of synthetic cathinone analogs that may appear on the Swedish drug market

Overview of attention for article published in Drug Testing and Analysis, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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2 X users
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2 Wikipedia pages

Citations

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25 Dimensions

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47 Mendeley
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Title
Prediction of designer drugs: Synthesis and spectroscopic analysis of synthetic cathinone analogs that may appear on the Swedish drug market
Published in
Drug Testing and Analysis, March 2018
DOI 10.1002/dta.2366
Pubmed ID
Authors

Andreas Carlsson, Veronica Sandgren, Stefan Svensson, Peter Konradsson, Simon Dunne, Martin Josefsson, Johan Dahlén

Abstract

The use of hyphenated analytical techniques in forensic drug screening enables simultaneous identification of a wide range of different compounds. However, the appearance of drug seizures containing new substances, mainly new psychoactive substances (NPS), is steadily increasing. These new and other already known substances often possess structural similarities and consequently they exhibit spectral data with small differences. This situation has made the criteria that ensure indubitable identification of compounds increasingly important. In this work, six new synthetic cathinones that have not yet appeared in any Swedish drug seizures were synthesized. Their chemical structures were similar to those of already known cathinone analogues of which 42 were also included in the study. Hence, a total of 48 synthetic cathinones making up sets of homologous and regioisomeric compounds were used to challenge the capabilities of various analytical techniques commonly applied in forensic drug screening, i.e. GC-MS, GC-FTIR, NMR and LC-QTOF-MS. Special attention was paid to the capabilities of GC-MS and GC-FTIR to distinguish between the synthetic cathinones and the results showed that neither GC-MS nor GC-FTIR alone can successfully differentiate between all synthetic cathinones. However, the two techniques proved to be complementary and their combined use is therefore beneficial. For example, the structural homologues were better differentiated by GC-MS, while GC-FTIR performed better for the regioisomers. Further, new spectroscopic data of the synthesized cathinone analogues is hereby presented for the forensic community. The synthetic work also showed that cathinone reference compounds can be produced in few reaction steps.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Ph. D. Student 8 17%
Student > Bachelor 6 13%
Other 3 6%
Professor > Associate Professor 3 6%
Other 5 11%
Unknown 14 30%
Readers by discipline Count As %
Chemistry 16 34%
Pharmacology, Toxicology and Pharmaceutical Science 5 11%
Agricultural and Biological Sciences 4 9%
Biochemistry, Genetics and Molecular Biology 3 6%
Arts and Humanities 1 2%
Other 4 9%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 November 2021.
All research outputs
#7,432,724
of 24,458,924 outputs
Outputs from Drug Testing and Analysis
#460
of 1,434 outputs
Outputs of similar age
#121,692
of 333,708 outputs
Outputs of similar age from Drug Testing and Analysis
#11
of 34 outputs
Altmetric has tracked 24,458,924 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,434 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 66% 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 333,708 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 63% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.