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Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

Overview of attention for article published in European Radiology Experimental, November 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
4 X users

Citations

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14 Dimensions

Readers on

mendeley
43 Mendeley
Title
Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study
Published in
European Radiology Experimental, November 2019
DOI 10.1186/s41747-019-0121-6
Pubmed ID
Authors

Magda Marcon, Alexander Ciritsis, Cristina Rossi, Anton S. Becker, Nicole Berger, Moritz C. Wurnig, Matthias W. Wagner, Thomas Frauenfelder, Andreas Boss

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Other 3 7%
Student > Master 3 7%
Professor 2 5%
Student > Bachelor 2 5%
Other 9 21%
Unknown 15 35%
Readers by discipline Count As %
Medicine and Dentistry 15 35%
Engineering 2 5%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Mathematics 1 2%
Other 4 9%
Unknown 19 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 September 2020.
All research outputs
#13,423,124
of 23,170,347 outputs
Outputs from European Radiology Experimental
#81
of 205 outputs
Outputs of similar age
#176,382
of 362,940 outputs
Outputs of similar age from European Radiology Experimental
#3
of 7 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 205 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 60% 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 362,940 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 50% of its contemporaries.
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. This one has scored higher than 4 of them.