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Biomarkers of thyroid function and autoimmunity for predicting high-risk groups of thyroid cancer: a nested case–control study

Overview of attention for article published in BMC Cancer, November 2014
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1 YouTube creator

Citations

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46 Mendeley
Title
Biomarkers of thyroid function and autoimmunity for predicting high-risk groups of thyroid cancer: a nested case–control study
Published in
BMC Cancer, November 2014
DOI 10.1186/1471-2407-14-873
Pubmed ID
Authors

Young Ae Cho, Sun-Young Kong, Aesun Shin, Jeonghee Lee, Eun Kyung Lee, You Jin Lee, Jeongseon Kim

Abstract

A remarkable increase in the number of thyroid cancer cases has been reported in recent years; however, the markers to predict high-risk groups have not been fully established.

Mendeley readers

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 %
Tunisia 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 13%
Researcher 5 11%
Student > Bachelor 4 9%
Student > Ph. D. Student 3 7%
Lecturer 2 4%
Other 7 15%
Unknown 19 41%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Biochemistry, Genetics and Molecular Biology 4 9%
Agricultural and Biological Sciences 2 4%
Nursing and Health Professions 2 4%
Engineering 2 4%
Other 5 11%
Unknown 21 46%
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 14 August 2015.
All research outputs
#20,941,392
of 23,577,654 outputs
Outputs from BMC Cancer
#6,664
of 8,530 outputs
Outputs of similar age
#307,608
of 365,811 outputs
Outputs of similar age from BMC Cancer
#141
of 168 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,530 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 365,811 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.