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Robot use self-efficacy in healthcare work (RUSH): development and validation of a new measure

Overview of attention for article published in AI & SOCIETY, July 2017
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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

twitter
3 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
65 Mendeley
Title
Robot use self-efficacy in healthcare work (RUSH): development and validation of a new measure
Published in
AI & SOCIETY, July 2017
DOI 10.1007/s00146-017-0751-2
Authors

Tuuli Turja, Teemu Rantanen, Atte Oksanen

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Lecturer 5 8%
Student > Master 4 6%
Professor > Associate Professor 3 5%
Student > Doctoral Student 3 5%
Other 13 20%
Unknown 25 38%
Readers by discipline Count As %
Business, Management and Accounting 6 9%
Computer Science 6 9%
Psychology 5 8%
Nursing and Health Professions 4 6%
Social Sciences 4 6%
Other 11 17%
Unknown 29 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 March 2019.
All research outputs
#15,143,643
of 26,017,215 outputs
Outputs from AI & SOCIETY
#476
of 858 outputs
Outputs of similar age
#163,236
of 330,691 outputs
Outputs of similar age from AI & SOCIETY
#7
of 13 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 858 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 43rd percentile – i.e., 43% 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 330,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 13 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.