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Analysis of BRAFV600E mutation and DNA methylation improves the diagnostics of thyroid fine needle aspiration biopsies

Overview of attention for article published in Diagnostic Pathology, March 2014
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2 X users

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33 Mendeley
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Title
Analysis of BRAFV600E mutation and DNA methylation improves the diagnostics of thyroid fine needle aspiration biopsies
Published in
Diagnostic Pathology, March 2014
DOI 10.1186/1746-1596-9-45
Pubmed ID
Authors

Bingfei Zhang, Shu Liu, Zhaoxia Zhang, Jing Wei, Yiping Qu, Kexia Wu, Qi Yang, Peng Hou, Bingyin Shi

Abstract

Thyroid nodules with indeterminate cytological features on fine needle aspiration biopsy specimens (FNABs) have a ~20% risk of thyroid cancer. BRAF(V600E) mutation and DNA methylation are useful markers to distinguish malignant thyroid neoplasm from benign. The aim of this study was to determine whether combined detection of BRAF(V600E) mutation and methylation markers on FNABs could improve the diagnostic accuracy of thyroid cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Researcher 6 18%
Student > Bachelor 4 12%
Student > Postgraduate 4 12%
Student > Ph. D. Student 3 9%
Other 6 18%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 16 48%
Biochemistry, Genetics and Molecular Biology 5 15%
Agricultural and Biological Sciences 5 15%
Computer Science 2 6%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 March 2014.
All research outputs
#15,295,786
of 22,747,498 outputs
Outputs from Diagnostic Pathology
#535
of 1,122 outputs
Outputs of similar age
#131,628
of 221,905 outputs
Outputs of similar age from Diagnostic Pathology
#19
of 52 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% 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 221,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.