↓ Skip to main content

Prescriber variation in potentially inappropriate prescribing in older populations in Ireland

Overview of attention for article published in BMC Family Practice, April 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
60 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prescriber variation in potentially inappropriate prescribing in older populations in Ireland
Published in
BMC Family Practice, April 2014
DOI 10.1186/1471-2296-15-59
Pubmed ID
Authors

Caitriona Cahir, Tom Fahey, Conor Teljeur, Kathleen Bennett

Abstract

Health care policy-makers look for prescribing indicators at the population level to evaluate the performance of prescribers, improve quality and control drug costs. The aim of this research was to; (i) estimate the level of variation in potentially inappropriate prescribing (PIP) across prescribers in the national Irish older population using the STOPP criteria; (ii) estimate how reliably the criteria could distinguish between prescribers in terms of their proportion of PIP and; (iii) examine how PIP varies between prescribers and by patient and prescriber characteristics in a multilevel regression model.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Spain 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 10 17%
Student > Master 8 13%
Student > Postgraduate 7 12%
Student > Bachelor 4 7%
Other 10 17%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 21 35%
Pharmacology, Toxicology and Pharmaceutical Science 13 22%
Nursing and Health Professions 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Psychology 2 3%
Other 7 12%
Unknown 12 20%

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 08 April 2014.
All research outputs
#7,762,772
of 12,373,620 outputs
Outputs from BMC Family Practice
#884
of 1,233 outputs
Outputs of similar age
#100,137
of 193,976 outputs
Outputs of similar age from BMC Family Practice
#16
of 19 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 20th percentile – i.e., 20% 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 193,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.