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Body-Mounted Robotic System for MRI-Guided Shoulder Arthrography: Cadaver and Clinical Workflow Studies

Overview of attention for article published in Frontiers in Robotics and AI, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Body-Mounted Robotic System for MRI-Guided Shoulder Arthrography: Cadaver and Clinical Workflow Studies
Published in
Frontiers in Robotics and AI, May 2021
DOI 10.3389/frobt.2021.667121
Pubmed ID
Authors

Niravkumar Patel, Jiawen Yan, Gang Li, Reza Monfaredi, Lukasz Priba, Helen Donald-Simpson, Joyce Joy, Andrew Dennison, Andreas Melzer, Karun Sharma, Iulian Iordachita, Kevin Cleary

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 4 24%
Other 2 12%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 4 24%
Unknown 1 6%
Readers by discipline Count As %
Engineering 9 53%
Energy 1 6%
Nursing and Health Professions 1 6%
Social Sciences 1 6%
Design 1 6%
Other 0 0%
Unknown 4 24%
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 18 May 2021.
All research outputs
#13,662,605
of 23,577,761 outputs
Outputs from Frontiers in Robotics and AI
#662
of 1,568 outputs
Outputs of similar age
#197,842
of 441,850 outputs
Outputs of similar age from Frontiers in Robotics and AI
#59
of 141 outputs
Altmetric has tracked 23,577,761 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 1,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 55% 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 441,850 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 54% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.