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Next-generation sequencing in thyroid cancer

Overview of attention for article published in Journal of Translational Medicine, November 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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6 X users
peer_reviews
1 peer review site

Citations

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51 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Next-generation sequencing in thyroid cancer
Published in
Journal of Translational Medicine, November 2016
DOI 10.1186/s12967-016-1074-7
Pubmed ID
Authors

Yoon Jin Cha, Ja Seung Koo

Abstract

Next-generation sequencing (NGS) in thyroid cancer allows for simultaneous high-throughput sequencing analysis of variable genetic alterations and provides a comprehensive understanding of tumor biology. In thyroid cancer, NGS offers diagnostic improvements for fine needle aspiration (FNA) cytology of thyroid with indeterminate features. It also contributes to patient management, providing risk stratification of patients based on the risk of malignancy. Furthermore, NGS has been adopted in cancer research. It is used in molecular tumor classification, and molecular prediction of recurrence and metastasis in papillary thyroid carcinoma. This review covers previous NGS analyses in variable types of thyroid cancer, where samples including FNA cytology, fresh frozen tissue, and formalin-fixed, paraffin-embedded tissues were used. This review also focuses on the clinical and research implications of using NGS to study and treat thyroid cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 15%
Student > Ph. D. Student 9 10%
Student > Bachelor 9 10%
Student > Master 7 8%
Other 5 6%
Other 17 19%
Unknown 29 33%
Readers by discipline Count As %
Medicine and Dentistry 23 26%
Biochemistry, Genetics and Molecular Biology 17 19%
Agricultural and Biological Sciences 6 7%
Nursing and Health Professions 3 3%
Immunology and Microbiology 2 2%
Other 6 7%
Unknown 32 36%
Attention Score in Context

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 15 September 2017.
All research outputs
#6,447,419
of 22,901,818 outputs
Outputs from Journal of Translational Medicine
#991
of 4,010 outputs
Outputs of similar age
#117,978
of 414,929 outputs
Outputs of similar age from Journal of Translational Medicine
#16
of 63 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 74% 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 414,929 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 70% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.