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A Deep Multi-Task Learning Framework for Brain Tumor Segmentation

Overview of attention for article published in Frontiers in oncology, June 2021
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1 X user

Readers on

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60 Mendeley
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Title
A Deep Multi-Task Learning Framework for Brain Tumor Segmentation
Published in
Frontiers in oncology, June 2021
DOI 10.3389/fonc.2021.690244
Pubmed ID
Authors

He Huang, Guang Yang, Wenbo Zhang, Xiaomei Xu, Weiji Yang, Weiwei Jiang, Xiaobo Lai

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 6 10%
Researcher 3 5%
Student > Doctoral Student 2 3%
Student > Bachelor 2 3%
Other 7 12%
Unknown 27 45%
Readers by discipline Count As %
Computer Science 14 23%
Engineering 8 13%
Medicine and Dentistry 2 3%
Agricultural and Biological Sciences 1 2%
Psychology 1 2%
Other 5 8%
Unknown 29 48%
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 28 December 2021.
All research outputs
#23,487,873
of 26,163,973 outputs
Outputs from Frontiers in oncology
#16,353
of 22,913 outputs
Outputs of similar age
#398,769
of 464,064 outputs
Outputs of similar age from Frontiers in oncology
#889
of 1,417 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,913 research outputs from this source. They receive a mean Attention Score of 3.1. 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 464,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,417 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.