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Contrast-noise-ratio (CNR) analysis and optimisation of breast-specific gamma imaging (BSGI) acquisition protocols

Overview of attention for article published in EJNMMI Research, March 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Contrast-noise-ratio (CNR) analysis and optimisation of breast-specific gamma imaging (BSGI) acquisition protocols
Published in
EJNMMI Research, March 2013
DOI 10.1186/2191-219x-3-21
Pubmed ID
Authors

Dennis Dieckens, Jules Lavalaye, Leo Romijn, Jan Habraken

Abstract

Breast cancer is one of the most prevalent forms of cancer in women. Breast-specific gamma imaging (BSGI) is a diagnostic imaging method that uses sestamibi-labelled 99Tc and a dedicated gamma camera to localize malignant lesions in breast tissue. The aim of this study is to investigate if the current acquisition protocol for BSGI at our hospital is optimized for the detection of lesions in our patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Student > Bachelor 6 12%
Student > Master 5 10%
Researcher 4 8%
Other 2 4%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Physics and Astronomy 15 31%
Medicine and Dentistry 11 22%
Engineering 5 10%
Psychology 1 2%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 15 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 November 2021.
All research outputs
#7,344,480
of 23,148,322 outputs
Outputs from EJNMMI Research
#135
of 566 outputs
Outputs of similar age
#63,206
of 198,436 outputs
Outputs of similar age from EJNMMI Research
#2
of 15 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 566 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 75% 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 198,436 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 67% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.