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Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

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

  • Among the highest-scoring outputs from this source (#41 of 205)
  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
66 Mendeley
Title
Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features
Published in
European Radiology Experimental, April 2019
DOI 10.1186/s41747-019-0096-3
Pubmed ID
Authors

Wolf-Dieter Vogl, Katja Pinker, Thomas H. Helbich, Hubert Bickel, Günther Grabner, Wolfgang Bogner, Stephan Gruber, Zsuzsanna Bago-Horvath, Peter Dubsky, Georg Langs

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 21%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 6 9%
Other 5 8%
Student > Master 5 8%
Other 11 17%
Unknown 18 27%
Readers by discipline Count As %
Medicine and Dentistry 24 36%
Computer Science 5 8%
Engineering 5 8%
Economics, Econometrics and Finance 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 5 8%
Unknown 23 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#6,073,487
of 23,144,579 outputs
Outputs from European Radiology Experimental
#41
of 205 outputs
Outputs of similar age
#111,358
of 349,298 outputs
Outputs of similar age from European Radiology Experimental
#1
of 9 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 done well, scoring higher than 80% 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 349,298 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 68% of its contemporaries.
We're also able to compare this research output to 9 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