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Tools zur Therapieoptimierung bei multimorbiden geriatrischen Patienten am Lebensende – Hilfe oder „nur“ Denkanstoß?

Overview of attention for article published in Wiener Medizinische Wochenschrift, April 2014
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Title
Tools zur Therapieoptimierung bei multimorbiden geriatrischen Patienten am Lebensende – Hilfe oder „nur“ Denkanstoß?
Published in
Wiener Medizinische Wochenschrift, April 2014
DOI 10.1007/s10354-014-0274-0
Pubmed ID
Authors

Renate Riesinger, Bernhard Iglseder

Abstract

Pharmacotherapy for end-of-life patients with multimorbidity is a major challenge. Estimating prognosis can be much more difficult when compared to patients suffering from cancer alone.Nevertheless, it is crucial in order to prescribe in the context of the following determining factors: disease, co-morbidities, functional status, life expectancy and therapy goals.Since such patients are prone to adverse drug reactions, inappropriate prescriptions should be avoided, since evidence concerning the benefits or risks for various drugs used is as yet inadequate.Several tools can be of help to improve pharmacotherapy for this vulnerable group of patients.

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 19%
Student > Master 2 13%
Other 2 13%
Student > Ph. D. Student 1 6%
Unknown 8 50%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Environmental Science 1 6%
Engineering 1 6%
Unknown 9 56%
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 15 January 2015.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Wiener Medizinische Wochenschrift
#358
of 436 outputs
Outputs of similar age
#197,380
of 230,142 outputs
Outputs of similar age from Wiener Medizinische Wochenschrift
#5
of 7 outputs
Altmetric has tracked 23,849,058 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 436 research outputs from this source. They receive a mean Attention Score of 4.9. 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 230,142 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.