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Anatomical structure segmentation from early fetal ultrasound sequences using global pollination CAT swarm optimizer–based Chan–Vese model

Overview of attention for article published in Medical & Biological Engineering & Computing, June 2019
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Mentioned by

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2 X users

Citations

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7 Dimensions

Readers on

mendeley
8 Mendeley
Title
Anatomical structure segmentation from early fetal ultrasound sequences using global pollination CAT swarm optimizer–based Chan–Vese model
Published in
Medical & Biological Engineering & Computing, June 2019
DOI 10.1007/s11517-019-01991-2
Pubmed ID
Authors

M. A. Femina, S. P. Raajagopalan

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Bachelor 2 25%
Student > Doctoral Student 1 13%
Student > Ph. D. Student 1 13%
Researcher 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Engineering 2 25%
Computer Science 1 13%
Nursing and Health Professions 1 13%
Unknown 1 13%
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 17 June 2019.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Medical & Biological Engineering & Computing
#1,812
of 2,053 outputs
Outputs of similar age
#280,627
of 368,332 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#6
of 7 outputs
Altmetric has tracked 25,385,509 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 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 7th percentile – i.e., 7% 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 368,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.