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Hierarchical 3D Feature Learning forPancreas Segmentation

Overview of attention for article published in arXiv, September 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Hierarchical 3D Feature Learning forPancreas Segmentation
Published in
arXiv, September 2021
DOI 10.1007/978-3-030-87589-3_25
Authors

Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Professor > Associate Professor 1 14%
Student > Ph. D. Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Engineering 2 29%
Agricultural and Biological Sciences 1 14%
Computer Science 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 March 2023.
All research outputs
#8,422,595
of 25,155,561 outputs
Outputs from arXiv
#177,782
of 1,028,260 outputs
Outputs of similar age
#159,203
of 427,302 outputs
Outputs of similar age from arXiv
#5,854
of 33,469 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,028,260 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 427,302 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 59% of its contemporaries.
We're also able to compare this research output to 33,469 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.