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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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Mentioned by

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2 tweeters

Citations

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17 Dimensions

Readers on

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31 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 6 19%
Student > Postgraduate 4 13%
Student > Bachelor 3 10%
Other 3 10%
Other 5 16%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 15 48%
Agricultural and Biological Sciences 5 16%
Biochemistry, Genetics and Molecular Biology 3 10%
Computer Science 2 6%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 4 13%

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
#2,745,408
of 3,617,832 outputs
Outputs from Diagnostic Pathology
#247
of 390 outputs
Outputs of similar age
#71,099
of 94,631 outputs
Outputs of similar age from Diagnostic Pathology
#30
of 49 outputs
Altmetric has tracked 3,617,832 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 390 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 24th percentile – i.e., 24% 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 94,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.