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Multiple sclerosis disease modifying medicine utilisation in Australia

Overview of attention for article published in Journal of Clinical Neuroscience, September 2014
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Title
Multiple sclerosis disease modifying medicine utilisation in Australia
Published in
Journal of Clinical Neuroscience, September 2014
DOI 10.1016/j.jocn.2014.05.034
Pubmed ID
Authors

Samantha Hollingworth, Kimitra Walker, Andrew Page, Mervyn Eadie

Abstract

With the introduction of new disease modifying medicines (DMM) for relapsing remitting multiple sclerosis (RRMS) in Australia, we aimed to examine trends in utilisation from 1996 to 2013. We analysed trends in use by administrative area (state/territory). Prescription data from Medicare Australia were converted to defined daily doses (DDD)/1000 population/day using population data. Overall RRMS DMM use increased progressively from 0.024 to 0.68 DDD/1000 population/day between 1996 and 2013. From 1996 to 1999 interferon β1B was the only such agent available. Interferon β1A became the most widely used RRMS DMM in 2001. Glatiramer acetate became available in 2004 and its use thereafter increased slowly. Natalizumab was introduced in 2008 with slow growth and fingolimod use grew substantially once it was subsidised in 2011. Both these medicines have accounted for the growth in total use of RRMS DMM in 2012 and 2013. Overall RRMS DMM use was higher in more southern states than in northern states. Patterns of preferred agent varied between different Australian states and territories. RRMS DMM use in Australia has grown progressively since 1996, probably related to growing medical and patient confidence in the benefits obtained from using such drugs, longer survival in MS patients (partly related to use of drug treatments), and easier recognition of MS with the wider availability of magnetic resonance imaging (MRI). The availability of fingolimod, the first DMM that can be taken by mouth, may have led RRMS patients who rejected parenteral therapy to commence treatment of their disease.

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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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Portugal 1 3%
Brazil 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Student > Bachelor 3 9%
Other 3 9%
Researcher 2 6%
Other 6 17%
Unknown 12 34%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Agricultural and Biological Sciences 4 11%
Neuroscience 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 16 46%
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 01 October 2014.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Journal of Clinical Neuroscience
#1,671
of 2,430 outputs
Outputs of similar age
#182,861
of 250,098 outputs
Outputs of similar age from Journal of Clinical Neuroscience
#18
of 30 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,430 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 19th percentile – i.e., 19% 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 250,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.