↓ Skip to main content

Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging

Overview of attention for article published in EJNMMI Research, October 2021
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
Title
Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging
Published in
EJNMMI Research, October 2021
DOI 10.1186/s13550-021-00847-x
Pubmed ID
Authors

Shintaro Saito, Kenichi Nakajima, Lars Edenbrandt, Olof Enqvist, Johannes Ulén, Seigo Kinuya

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Student > Doctoral Student 2 10%
Researcher 2 10%
Lecturer 1 5%
Student > Ph. D. Student 1 5%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Engineering 3 15%
Computer Science 3 15%
Unspecified 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 6 30%
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 13 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from EJNMMI Research
#401
of 571 outputs
Outputs of similar age
#357,854
of 434,498 outputs
Outputs of similar age from EJNMMI Research
#19
of 25 outputs
Altmetric has tracked 23,310,485 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 571 research outputs from this source. They receive a mean Attention Score of 2.6. 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 434,498 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 25 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.