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A practical application of neural network analysis for predicting outcome of individual breast cancer patients

Overview of attention for article published in Breast Cancer Research and Treatment, October 1992
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Mentioned by

patent
3 patents

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
44 Mendeley
Title
A practical application of neural network analysis for predicting outcome of individual breast cancer patients
Published in
Breast Cancer Research and Treatment, October 1992
DOI 10.1007/bf01840841
Pubmed ID
Authors

Peter M. Ravdin, Gary M. Clark

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 7 16%
Student > Doctoral Student 6 14%
Student > Postgraduate 4 9%
Professor > Associate Professor 3 7%
Other 6 14%
Unknown 6 14%
Readers by discipline Count As %
Computer Science 10 23%
Mathematics 6 14%
Medicine and Dentistry 6 14%
Engineering 3 7%
Agricultural and Biological Sciences 2 5%
Other 8 18%
Unknown 9 20%
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 23 October 2001.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from Breast Cancer Research and Treatment
#1,684
of 4,685 outputs
Outputs of similar age
#5,381
of 19,217 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#2
of 12 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,685 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 19,217 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.