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Automated classification of normal and pathologic pulmonary tissue by topological texture features extracted from multi-detector CT in 3D

Overview of attention for article published in European Radiology, July 2008
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Mentioned by

patent
1 patent

Citations

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39 Dimensions

Readers on

mendeley
71 Mendeley
Title
Automated classification of normal and pathologic pulmonary tissue by topological texture features extracted from multi-detector CT in 3D
Published in
European Radiology, July 2008
DOI 10.1007/s00330-008-1082-y
Pubmed ID
Authors

H. F. Boehm, C. Fink, U. Attenberger, C. Becker, J. Behr, M. Reiser

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Colombia 1 1%
United Kingdom 1 1%
Austria 1 1%
Spain 1 1%
Canada 1 1%
Unknown 64 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Researcher 15 21%
Professor 7 10%
Other 3 4%
Student > Postgraduate 3 4%
Other 13 18%
Unknown 12 17%
Readers by discipline Count As %
Medicine and Dentistry 26 37%
Computer Science 12 17%
Engineering 7 10%
Agricultural and Biological Sciences 4 6%
Physics and Astronomy 3 4%
Other 3 4%
Unknown 16 23%
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 August 2016.
All research outputs
#7,566,705
of 23,079,238 outputs
Outputs from European Radiology
#1,157
of 4,183 outputs
Outputs of similar age
#28,816
of 82,127 outputs
Outputs of similar age from European Radiology
#7
of 22 outputs
Altmetric has tracked 23,079,238 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 4,183 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 55% 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 82,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.