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Calculator for ovarian carcinoma subtype prediction

Overview of attention for article published in Modern Pathology, December 2010
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
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Title
Calculator for ovarian carcinoma subtype prediction
Published in
Modern Pathology, December 2010
DOI 10.1038/modpathol.2010.215
Pubmed ID
Authors

Steve E Kalloger, Martin Köbel, Samuel Leung, Erika Mehl, Dongxia Gao, Krista M Marcon, Christine Chow, Blaise A Clarke, David G Huntsman, C Blake Gilks

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Spain 1 2%
Poland 1 2%
Egypt 1 2%
Unknown 59 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 9 14%
Other 8 13%
Student > Doctoral Student 7 11%
Professor > Associate Professor 5 8%
Other 11 17%
Unknown 11 17%
Readers by discipline Count As %
Medicine and Dentistry 27 43%
Agricultural and Biological Sciences 13 21%
Biochemistry, Genetics and Molecular Biology 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Engineering 2 3%
Other 2 3%
Unknown 10 16%
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 01 January 2016.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Modern Pathology
#1,696
of 3,283 outputs
Outputs of similar age
#57,437
of 190,251 outputs
Outputs of similar age from Modern Pathology
#14
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,283 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 33rd percentile – i.e., 33% 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 190,251 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.