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Choice of observational study design impacts on measurement of antipsychotic risks in the elderly: a systematic review

Overview of attention for article published in BMC Medical Research Methodology, June 2012
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Title
Choice of observational study design impacts on measurement of antipsychotic risks in the elderly: a systematic review
Published in
BMC Medical Research Methodology, June 2012
DOI 10.1186/1471-2288-12-72
Pubmed ID
Authors

Nicole Pratt, Elizabeth E Roughead, Amy Salter, Philip Ryan

Abstract

Antipsychotics are frequently and increasingly prescribed to treat the behavioural symptoms associated with dementia despite their modest efficacy. Evidence regarding the potential adverse events of antipsychotics is limited and little is known about the longer-term safety of these medicines in the elderly. The aim of this review was to determine the impact of the choice of observational study design and methods used to control for confounding on the measurement of antipsychotic risks in elderly patients.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 1 1%
France 1 1%
Unknown 83 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 16%
Researcher 13 15%
Student > Master 11 13%
Student > Doctoral Student 10 11%
Student > Postgraduate 8 9%
Other 24 28%
Unknown 7 8%
Readers by discipline Count As %
Medicine and Dentistry 45 52%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Psychology 5 6%
Neuroscience 5 6%
Nursing and Health Professions 4 5%
Other 15 17%
Unknown 8 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2012.
All research outputs
#23,010,126
of 25,654,806 outputs
Outputs from BMC Medical Research Methodology
#2,168
of 2,304 outputs
Outputs of similar age
#164,523
of 181,174 outputs
Outputs of similar age from BMC Medical Research Methodology
#26
of 28 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 181,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.