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Biaxial sensing suture breakage warning system for robotic surgery

Overview of attention for article published in Biomedical Microdevices, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 481)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
2 news outlets

Readers on

mendeley
4 Mendeley
Title
Biaxial sensing suture breakage warning system for robotic surgery
Published in
Biomedical Microdevices, January 2019
DOI 10.1007/s10544-018-0357-6
Pubmed ID
Authors

Yuan Dai, A. Abiri, J. Pensa, S. Liu, O. Paydar, H. Sohn, S. Sun, P. A. Pellionisz, C. Pensa, E. P. Dutson, W. S. Grundfest, R. N. Candler

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Doctoral Student 2 50%
Readers by discipline Count As %
Engineering 2 50%
Physics and Astronomy 1 25%
Nursing and Health Professions 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 24 January 2019.
All research outputs
#1,270,716
of 12,846,518 outputs
Outputs from Biomedical Microdevices
#17
of 481 outputs
Outputs of similar age
#43,231
of 260,516 outputs
Outputs of similar age from Biomedical Microdevices
#1
of 5 outputs
Altmetric has tracked 12,846,518 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 481 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 260,516 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them