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Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot

Overview of attention for article published in Frontiers in Robotics and AI, January 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 X users

Citations

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6 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Investigating the Usability, Efficacy and Accuracy of a Medication Entering Software System for a Healthcare Robot
Published in
Frontiers in Robotics and AI, January 2022
DOI 10.3389/frobt.2022.814268
Pubmed ID
Authors

Nataly Martini, Elizabeth Broadbent, Jasmine Koo, Laurence Lam, Diane Verches, Sophie Zeng, Rhea Montgomery-Walsh, Craig Sutherland

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Student > Master 2 9%
Lecturer 1 5%
Other 1 5%
Researcher 1 5%
Other 0 0%
Unknown 14 64%
Readers by discipline Count As %
Nursing and Health Professions 3 14%
Engineering 3 14%
Agricultural and Biological Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Unknown 14 64%
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 31 January 2022.
All research outputs
#14,377,572
of 23,025,074 outputs
Outputs from Frontiers in Robotics and AI
#823
of 1,512 outputs
Outputs of similar age
#241,723
of 502,734 outputs
Outputs of similar age from Frontiers in Robotics and AI
#66
of 104 outputs
Altmetric has tracked 23,025,074 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 1,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 41st percentile – i.e., 41% 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 502,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.