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PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images

Overview of attention for article published in Medical & Biological Engineering & Computing, May 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 2,069)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images
Published in
Medical & Biological Engineering & Computing, May 2024
DOI 10.1007/s11517-024-03111-1
Pubmed ID
Authors

Ruiyu Qiu, Mengqiang Zhou, Jieyun Bai, Yaosheng Lu, Huijin Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 May 2024.
All research outputs
#3,479,825
of 25,913,612 outputs
Outputs from Medical & Biological Engineering & Computing
#45
of 2,069 outputs
Outputs of similar age
#22,711
of 171,608 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#1
of 4 outputs
Altmetric has tracked 25,913,612 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,069 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 171,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them