Stability of conventional and machine learning‐based tumor auto‐segmentation techniques using undersampled dynamic radial bSSFP acquisitions on a 0.35 T hybrid MR‐linac system
Pharmacology, Toxicology and Pharmaceutical Science
1
3%
Nursing and Health Professions
1
3%
Other
1
3%
Unknown
15
43%
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 16 December 2020.
All research outputs
#18,777,896
of 23,269,984 outputs
Outputs from Medical Physics
#6,211
of 7,792 outputs
Outputs of similar age
#375,882
of 502,867 outputs
Outputs of similar age from Medical Physics
#52
of 72 outputs
Altmetric has tracked 23,269,984 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 7,792 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 10th percentile – i.e., 10% 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 502,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
