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Automatic cardiac evaluations using a deep video object segmentation network

Overview of attention for article published in Insights into Imaging, April 2022
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Mentioned by

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2 X users

Citations

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15 Dimensions

Readers on

mendeley
32 Mendeley
Title
Automatic cardiac evaluations using a deep video object segmentation network
Published in
Insights into Imaging, April 2022
DOI 10.1186/s13244-022-01212-9
Pubmed ID
Authors

Nasim Sirjani, Shakiba Moradi, Mostafa Ghelich Oghli, Ali Hosseinsabet, Azin Alizadehasl, Mona Yadollahi, Isaac Shiri, Ali Shabanzadeh

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 9%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Lecturer 1 3%
Professor 1 3%
Other 3 9%
Unknown 19 59%
Readers by discipline Count As %
Computer Science 5 16%
Engineering 3 9%
Medicine and Dentistry 2 6%
Agricultural and Biological Sciences 1 3%
Arts and Humanities 1 3%
Other 2 6%
Unknown 18 56%
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 22 November 2023.
All research outputs
#20,213,884
of 24,853,509 outputs
Outputs from Insights into Imaging
#901
of 1,142 outputs
Outputs of similar age
#324,706
of 436,159 outputs
Outputs of similar age from Insights into Imaging
#42
of 55 outputs
Altmetric has tracked 24,853,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 436,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.