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Molecular differential diagnosis of follicular thyroid carcinoma and adenoma based on gene expression profiling by using formalin-fixed paraffin-embedded tissues

Overview of attention for article published in BMC Medical Genomics, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Molecular differential diagnosis of follicular thyroid carcinoma and adenoma based on gene expression profiling by using formalin-fixed paraffin-embedded tissues
Published in
BMC Medical Genomics, October 2013
DOI 10.1186/1755-8794-6-38
Pubmed ID
Authors

Aleksandra Pfeifer, Bartosz Wojtas, Malgorzata Oczko-Wojciechowska, Aleksandra Kukulska, Agnieszka Czarniecka, Markus Eszlinger, Thomas Musholt, Tomasz Stokowy, Michal Swierniak, Ewa Stobiecka, Dagmara Rusinek, Tomasz Tyszkiewicz, Monika Kowal, Michal Jarzab, Steffen Hauptmann, Dariusz Lange, Ralf Paschke, Barbara Jarzab

Abstract

Differential diagnosis between malignant follicular thyroid cancer (FTC) and benign follicular thyroid adenoma (FTA) is a great challenge for even an experienced pathologist and requires special effort. Molecular markers may potentially support a differential diagnosis between FTC and FTA in postoperative specimens. The purpose of this study was to derive molecular support for differential post-operative diagnosis, in the form of a simple multigene mRNA-based classifier that would differentiate between FTC and FTA tissue samples.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 28%
Student > Ph. D. Student 6 13%
Other 4 9%
Professor 4 9%
Student > Bachelor 4 9%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Medicine and Dentistry 21 46%
Biochemistry, Genetics and Molecular Biology 8 17%
Agricultural and Biological Sciences 5 11%
Veterinary Science and Veterinary Medicine 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 9 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 May 2021.
All research outputs
#5,621,185
of 18,571,001 outputs
Outputs from BMC Medical Genomics
#268
of 985 outputs
Outputs of similar age
#52,964
of 182,345 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 6 outputs
Altmetric has tracked 18,571,001 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 985 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 71% 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 182,345 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 69% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.