↓ Skip to main content

Editorial: Next Generation User-Adaptive Wearable Robots

Overview of attention for article published in Frontiers in Robotics and AI, June 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Editorial: Next Generation User-Adaptive Wearable Robots
Published in
Frontiers in Robotics and AI, June 2022
DOI 10.3389/frobt.2022.920655
Pubmed ID
Authors

Thomas C. Bulea, Nitin Sharma, Siddhartha Sikdar, Hao Su

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 June 2022.
All research outputs
#18,347,414
of 22,721,584 outputs
Outputs from Frontiers in Robotics and AI
#1,290
of 1,484 outputs
Outputs of similar age
#308,650
of 439,784 outputs
Outputs of similar age from Frontiers in Robotics and AI
#71
of 74 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 1st percentile – i.e., 1% 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 439,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.