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In vitro, in vivo and in silico metabolic profiling of -pyrrolidinopentiothiophenone, a novel thiophene stimulant

Overview of attention for article published in Bioanalysis, December 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
33 Mendeley
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Title
In vitro, in vivo and in silico metabolic profiling of -pyrrolidinopentiothiophenone, a novel thiophene stimulant
Published in
Bioanalysis, December 2015
DOI 10.4155/bio.15.237
Pubmed ID
Authors

Madeleine J Swortwood, Jeremy Carlier, Kayla N Ellefsen, Ariane Wohlfarth, Xingxing Diao, Marta Concheiro-Guisan, Robert Kronstrand, Marilyn A Huestis

Abstract

Little or no pharmacological or toxicological data are available for novel psychoactive substances when they first emerge, making their identification and interpretation in biological matrices challenging. A new synthetic cathinone, α-pyrrolidinopentiothiophenone (α-PVT), was incubated with hepatocytes and samples were analyzed using liquid chromatography coupled to a Q Exactive(TM) Orbitrap mass spectrometer. Authentic urine specimens from suspected α-PVT cases were also analyzed. Scans were data mined with Compound Discoverer™ for identification and structural elucidation of metabolites. Seven α-PVT metabolites were identified in hepatocyte incubations, and in the authentic urine samples, also with an additional monohydroxylated product and a glucuronide of low intensity. α-PVT dihydroxypyrrolidinyl, α-PVT 2-ketopyrrolidinyl, α-PVT hydroxythiophenyl and α-PVT thiophenol had the most intense in vivo signals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Student > Master 4 12%
Student > Bachelor 3 9%
Other 3 9%
Student > Postgraduate 3 9%
Other 6 18%
Unknown 9 27%
Readers by discipline Count As %
Chemistry 9 27%
Biochemistry, Genetics and Molecular Biology 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Agricultural and Biological Sciences 1 3%
Engineering 1 3%
Other 0 0%
Unknown 15 45%
Attention Score in Context

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 10 December 2015.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Bioanalysis
#479
of 1,401 outputs
Outputs of similar age
#125,259
of 395,134 outputs
Outputs of similar age from Bioanalysis
#9
of 22 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,401 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 56% 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 395,134 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.