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Polypharmacy among anabolic-androgenic steroid users: a descriptive metasynthesis

Overview of attention for article published in Substance Abuse Treatment, Prevention, and Policy, March 2015
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
134 Dimensions

Readers on

mendeley
145 Mendeley
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Title
Polypharmacy among anabolic-androgenic steroid users: a descriptive metasynthesis
Published in
Substance Abuse Treatment, Prevention, and Policy, March 2015
DOI 10.1186/s13011-015-0006-5
Pubmed ID
Authors

Dominic Sagoe, Jim McVeigh, Astrid Bjørnebekk, Marie-Stella Essilfie, Cecilie Schou Andreassen, Ståle Pallesen

Abstract

As far as we are aware, no previous systematic review and synthesis of the qualitative/descriptive literature on polypharmacy in anabolic-androgenic steroid(s) (AAS) users has been published. We systematically reviewed and synthesized qualitative/descriptive literature gathered from searches in electronic databases and by inspecting reference lists of relevant literature to investigate AAS users' polypharmacy. We adhered to the recommendations of the UK Economic and Social Research Council's qualitative research synthesis manual and the PRISMA guidelines. A total of 50 studies published between 1985 and 2014 were included in the analysis. Studies originated from 10 countries although most originated from United States (n = 22), followed by Sweden (n = 7), England only (n = 5), and the United Kingdom (n = 4). It was evident that prior to their debut, AAS users often used other licit and illicit substances. The main ancillary/supplementary substances used were alcohol, and cannabis/cannabinoids followed by cocaine, growth hormone, and human chorionic gonadotropin (hCG), amphetamine/meth, clenbuterol, ephedra/ephedrine, insulin, and thyroxine. Other popular substance classes were analgesics/opioids, dietary/nutritional supplements, and diuretics. Our classification of the various substances used by AAS users resulted in 13 main groups. These non-AAS substances were used mainly to enhance the effects of AAS, combat the side effects of AAS, and for recreational or relaxation purposes, as well as sexual enhancement. Our findings corroborate previous suggestions of associations between AAS use and the use of other licit and illicit substances. Efforts must be intensified to combat the debilitating effects of AAS-associated polypharmacy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Unknown 141 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 20%
Student > Master 22 15%
Student > Bachelor 19 13%
Other 10 7%
Researcher 10 7%
Other 24 17%
Unknown 31 21%
Readers by discipline Count As %
Medicine and Dentistry 30 21%
Social Sciences 13 9%
Agricultural and Biological Sciences 11 8%
Psychology 11 8%
Nursing and Health Professions 9 6%
Other 33 23%
Unknown 38 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 May 2015.
All research outputs
#3,687,071
of 22,794,367 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#205
of 667 outputs
Outputs of similar age
#47,288
of 261,551 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#2
of 8 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 667 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 69% 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 261,551 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 81% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.