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Falls Sensei: a serious 3D exploration game to enable the detection of extrinsic home fall hazards for older adults

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
222 Mendeley
Title
Falls Sensei: a serious 3D exploration game to enable the detection of extrinsic home fall hazards for older adults
Published in
BMC Medical Informatics and Decision Making, April 2019
DOI 10.1186/s12911-019-0808-x
Pubmed ID
Authors

Arthur G. Money, Anita Atwal, Emily Boyce, Sophie Gaber, Susan Windeatt, Kyriakos Alexandrou

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

Geographical breakdown

Country Count As %
Unknown 222 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 13%
Student > Bachelor 24 11%
Student > Ph. D. Student 22 10%
Researcher 14 6%
Lecturer 11 5%
Other 37 17%
Unknown 85 38%
Readers by discipline Count As %
Nursing and Health Professions 36 16%
Computer Science 14 6%
Psychology 13 6%
Social Sciences 12 5%
Engineering 11 5%
Other 41 18%
Unknown 95 43%
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 18 April 2019.
All research outputs
#14,446,516
of 23,142,049 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,119
of 2,016 outputs
Outputs of similar age
#177,514
of 319,132 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 48 outputs
Altmetric has tracked 23,142,049 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 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 319,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.