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Virtual karyotyping with SNP microarrays reduces uncertainty in the diagnosis of renal epithelial tumors

Overview of attention for article published in Diagnostic Pathology, November 2008
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  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

patent
1 patent
wikipedia
4 Wikipedia pages

Readers on

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22 Mendeley
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Article details
Title
Virtual karyotyping with SNP microarrays reduces uncertainty in the diagnosis of renal epithelial tumors
Published in
Diagnostic Pathology, November 2008
DOI 10.1186/1746-1596-3-44
Pubmed ID
Authors
Abstract

Renal epithelial tumors are morphologically, biologically, and clinically heterogeneous. Different morphologic subtypes require specific management due to markedly different prognosis and response to therapy. Each common subtype has characteristic chromosomal gains and losses, including some with prognostic value. However, copy number information has not been readily accessible for clinical purposes and thus has not been routinely used in the diagnostic evaluation of these tumors. This information can be useful for classification of tumors with complex or challenging morphology. 'Virtual karyotypes' generated using SNP arrays can readily detect characteristic chromosomal lesions in paraffin embedded renal tumors and can be used to correctly categorize the common subtypes with performance characteristics that are amenable for routine clinical use.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 5%
Czechia 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 32%
Other 2 9%
Lecturer 2 9%
Student > Ph. D. Student 2 9%
Student > Postgraduate 2 9%
Other 3 14%
Unknown 4 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 10 45%
Medicine and Dentistry 5 23%
Biochemistry, Genetics and Molecular Biology 2 9%
Computer Science 1 5%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 April 2025.
All research outputs
#7,432,872
of 34,054,827 outputs
Outputs from Diagnostic Pathology
#171
of 1,336 outputs
Outputs of similar age
#31,734
of 148,158 outputs
Outputs of similar age from Diagnostic Pathology
#2
of 4 outputs
Altmetric has tracked 34,054,827 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 1,336 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% 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 148,158 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 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.