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Mendeley readers
Attention Score in Context
Title |
Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle
|
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Published in |
JMIR mHealth and uHealth, March 2014
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 22% |
Australia | 4 | 15% |
United Kingdom | 2 | 7% |
Germany | 1 | 4% |
Saudi Arabia | 1 | 4% |
Curaçao | 1 | 4% |
Sweden | 1 | 4% |
Unknown | 11 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 22 | 81% |
Scientists | 3 | 11% |
Practitioners (doctors, other healthcare professionals) | 2 | 7% |
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
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.