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Attention Score in Context
| Title |
Instrument Detection and Descriptive Gesture Segmentation on a Robotic Surgical Maneuvers Dataset
|
|---|---|
| Published in |
Applied Sciences, April 2024
|
| DOI | 10.3390/app14093701 |
| Authors |
Irene Rivas-Blanco, Carmen López-Casado, Juan M. Herrera-López, José Cabrera-Villa, Carlos J. Pérez-del-Pulgar |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 May 2024.
All research outputs
#7,551,663
of 25,918,061 outputs
Outputs from Applied Sciences
#1,351
of 15,451 outputs
Outputs of similar age
#62,537
of 220,844 outputs
Outputs of similar age from Applied Sciences
#9
of 116 outputs
Altmetric has tracked 25,918,061 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 15,451 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 90% 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 220,844 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 71% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.