↓ Skip to main content

High quality copy number and genotype data from FFPE samples using Molecular Inversion Probe (MIP) microarrays

Overview of attention for article published in BMC Medical Genomics, February 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
64 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
High quality copy number and genotype data from FFPE samples using Molecular Inversion Probe (MIP) microarrays
Published in
BMC Medical Genomics, February 2009
DOI 10.1186/1755-8794-2-8
Pubmed ID
Authors

Yuker Wang, Victoria EH Carlton, George Karlin-Neumann, Ronald Sapolsky, Li Zhang, Martin Moorhead, Zhigang C Wang, Andrea L Richardson, Robert Warren, Axel Walther, Melissa Bondy, Aysegul Sahin, Ralf Krahe, Musaffe Tuna, Patricia A Thompson, Paul T Spellman, Joe W Gray, Gordon B Mills, Malek Faham

Abstract

A major challenge facing DNA copy number (CN) studies of tumors is that most banked samples with extensive clinical follow-up information are Formalin-Fixed Paraffin Embedded (FFPE). DNA from FFPE samples generally underperforms or suffers high failure rates compared to fresh frozen samples because of DNA degradation and cross-linking during FFPE fixation and processing. As FFPE protocols may vary widely between labs and samples may be stored for decades at room temperature, an ideal FFPE CN technology should work on diverse sample sets. Molecular Inversion Probe (MIP) technology has been applied successfully to obtain high quality CN and genotype data from cell line and frozen tumor DNA. Since the MIP probes require only a small (approximately 40 bp) target binding site, we reasoned they may be well suited to assess degraded FFPE DNA. We assessed CN with a MIP panel of 50,000 markers in 93 FFPE tumor samples from 7 diverse collections. For 38 FFPE samples from three collections we were also able to asses CN in matched fresh frozen tumor tissue.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
United States 2 3%
France 1 2%
Netherlands 1 2%
Canada 1 2%
Belgium 1 2%
Germany 1 2%
Unknown 54 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 42%
Student > Ph. D. Student 12 19%
Other 4 6%
Student > Master 4 6%
Student > Bachelor 4 6%
Other 8 13%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 45%
Medicine and Dentistry 13 20%
Biochemistry, Genetics and Molecular Biology 12 19%
Mathematics 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 5%
Unknown 4 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 February 2020.
All research outputs
#2,416,160
of 17,358,590 outputs
Outputs from BMC Medical Genomics
#118
of 915 outputs
Outputs of similar age
#43,797
of 298,274 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 4 outputs
Altmetric has tracked 17,358,590 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 915 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 298,274 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% 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.