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Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle

Overview of attention for article published in JMIR mHealth and uHealth, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
27 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
107 Mendeley
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Title
Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle
Published in
JMIR mHealth and uHealth, March 2014
DOI 10.2196/mhealth.2799
Pubmed ID
Authors

Jacki Liddle, David Ireland, Simon J McBride, Sandra G Brauer, Leanne M Hall, Hang Ding, Mohan Karunanithi, Paul W Hodges, Deborah Theodoros, Peter A Silburn, Helen J Chenery

Abstract

Lifespace is a multidimensional construct that describes the geographic area in which a person lives and conducts their activities, and reflects mobility, health, and well-being. Traditionally, it has been measured by asking older people to self-report the length and frequency of trips taken and assistance required. Global Positioning System (GPS) sensors on smartphones have been used to measure Lifespace of older people, but not with people with Parkinson's disease (PD).

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
United Kingdom 1 <1%
Chile 1 <1%
Switzerland 1 <1%
Unknown 103 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Researcher 18 17%
Student > Master 12 11%
Student > Doctoral Student 8 7%
Student > Bachelor 8 7%
Other 17 16%
Unknown 19 18%
Readers by discipline Count As %
Medicine and Dentistry 16 15%
Computer Science 13 12%
Engineering 12 11%
Social Sciences 9 8%
Neuroscience 7 7%
Other 24 22%
Unknown 26 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 April 2023.
All research outputs
#1,825,040
of 23,565,002 outputs
Outputs from JMIR mHealth and uHealth
#334
of 2,392 outputs
Outputs of similar age
#19,035
of 222,687 outputs
Outputs of similar age from JMIR mHealth and uHealth
#4
of 10 outputs
Altmetric has tracked 23,565,002 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done well, scoring higher than 86% 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 222,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.