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Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis

Overview of attention for article published in Cancer Imaging, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis
Published in
Cancer Imaging, February 2022
DOI 10.1186/s40644-022-00447-5
Pubmed ID
Authors

Timothy Musila Mutala, Gladys N. Mwango, Angeline Aywak, Dania Cioni, Emanuele Neri

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 30%
Professor > Associate Professor 2 20%
Student > Ph. D. Student 1 10%
Unknown 4 40%
Readers by discipline Count As %
Engineering 2 20%
Medicine and Dentistry 2 20%
Computer Science 1 10%
Unknown 5 50%

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 18 February 2022.
All research outputs
#6,559,734
of 21,821,479 outputs
Outputs from Cancer Imaging
#72
of 565 outputs
Outputs of similar age
#135,351
of 410,651 outputs
Outputs of similar age from Cancer Imaging
#1
of 1 outputs
Altmetric has tracked 21,821,479 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 565 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 87% 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 410,651 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 66% of its contemporaries.
We're also able to compare this research output to 1 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