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Effectiveness of medicines review with web-based pharmaceutical treatment algorithms in reducing potentially inappropriate prescribing in older people in primary care: a cluster randomized trial (OPTI…

Overview of attention for article published in Trials, January 2013
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Mentioned by

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3 X users

Citations

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24 Dimensions

Readers on

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190 Mendeley
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Title
Effectiveness of medicines review with web-based pharmaceutical treatment algorithms in reducing potentially inappropriate prescribing in older people in primary care: a cluster randomized trial (OPTI-SCRIPT study protocol)
Published in
Trials, January 2013
DOI 10.1186/1745-6215-14-72
Pubmed ID
Authors

Barbara Clyne, Marie C Bradley, Susan M Smith, Carmel M Hughes, Nicola Motterlini, Daniel Clear, Ronan McDonnell, David Williams, Tom Fahey

Abstract

Potentially inappropriate prescribing in older people is common in primary care and can result in increased morbidity, adverse drug events, hospitalizations and mortality. In Ireland, 36% of those aged 70 years or over received at least one potentially inappropriate medication, with an associated expenditure of over €45 million.The main objective of this study is to determine the effectiveness and acceptability of a complex, multifaceted intervention in reducing the level of potentially inappropriate prescribing in primary care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Ireland 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
United States 1 <1%
Unknown 184 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 15%
Student > Master 26 14%
Researcher 25 13%
Student > Postgraduate 15 8%
Student > Bachelor 15 8%
Other 54 28%
Unknown 26 14%
Readers by discipline Count As %
Medicine and Dentistry 72 38%
Pharmacology, Toxicology and Pharmaceutical Science 27 14%
Nursing and Health Professions 15 8%
Social Sciences 10 5%
Computer Science 6 3%
Other 21 11%
Unknown 39 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 July 2015.
All research outputs
#15,922,551
of 25,986,827 outputs
Outputs from Trials
#21
of 45 outputs
Outputs of similar age
#178,522
of 292,078 outputs
Outputs of similar age from Trials
#15
of 23 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 45 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one scored the same or higher as 24 of them.
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 292,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.