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Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study)

Overview of attention for article published in BioMedical Engineering OnLine, February 2014
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  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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2 X users

Citations

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45 Dimensions

Readers on

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130 Mendeley
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Title
Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study)
Published in
BioMedical Engineering OnLine, February 2014
DOI 10.1186/1475-925x-13-10
Pubmed ID
Authors

Layal Shammas, Tom Zentek, Birte von Haaren, Stefan Schlesinger, Stefan Hey, Asarnusch Rashid

Abstract

Limitations in physical activity are considered as a key problem in patients with multiple sclerosis (PwMS). Contemporary methods to assess the level of physical activity in PwMS are regular clinical observation. However, these methods either rely on high recall and accurate reporting from the patients (e.g. self-report questionnaires), or they are conducted during a particular clinical assessment with predefined activities. Therefore, the main aim of this pilot study was to develop an objective method to gather information about the real type and intensity of daily activities performed by PwMS in every-day living situations using an accelerometer. Furthermore, the accelerometer-derived measures are investigated regarding their potential for discriminating between different MS groups.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
India 1 <1%
United Arab Emirates 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 123 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Researcher 19 15%
Student > Master 19 15%
Student > Bachelor 12 9%
Other 9 7%
Other 21 16%
Unknown 20 15%
Readers by discipline Count As %
Medicine and Dentistry 28 22%
Engineering 16 12%
Nursing and Health Professions 10 8%
Sports and Recreations 8 6%
Psychology 8 6%
Other 33 25%
Unknown 27 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 14 February 2014.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#406
of 867 outputs
Outputs of similar age
#186,557
of 322,480 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 18 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 322,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.