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Mobile Romberg test assessment (mRomberg)

Overview of attention for article published in BMC Research Notes, September 2014
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2 X users

Citations

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36 Dimensions

Readers on

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95 Mendeley
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Title
Mobile Romberg test assessment (mRomberg)
Published in
BMC Research Notes, September 2014
DOI 10.1186/1756-0500-7-640
Pubmed ID
Authors

Alejandro Galán-Mercant, Antonio I Cuesta-Vargas

Abstract

The diagnosis of frailty is based on physical impairments and clinicians have indicated that early detection is one of the most effective methods for reducing the severity of physical frailty. Maybe, an alternative to the classical diagnosis could be the instrumentalization of classical functional testing, as Romberg test or Timed Get Up and Go Test. The aim of this study was (I) to measure and describe the magnitude of accelerometry values in the Romberg test in two groups of frail and non-frail elderly people through instrumentation with the iPhone 4®, (II) to analyse the performances and differences between the study groups, and (III) to analyse the performances and differences within study groups to characterise accelerometer responses to increasingly difficult challenges to balance.

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

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 15%
Student > Master 14 15%
Student > Ph. D. Student 11 12%
Student > Bachelor 7 7%
Lecturer 6 6%
Other 17 18%
Unknown 26 27%
Readers by discipline Count As %
Medicine and Dentistry 20 21%
Nursing and Health Professions 8 8%
Engineering 8 8%
Sports and Recreations 5 5%
Psychology 5 5%
Other 13 14%
Unknown 36 38%
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 21 September 2014.
All research outputs
#14,658,791
of 22,764,165 outputs
Outputs from BMC Research Notes
#2,090
of 4,262 outputs
Outputs of similar age
#132,315
of 243,384 outputs
Outputs of similar age from BMC Research Notes
#81
of 153 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 243,384 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.