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Gene signature of the post-Chernobyl papillary thyroid cancer

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 3,548)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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244 X users
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1 Wikipedia page

Citations

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61 Dimensions

Readers on

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56 Mendeley
Title
Gene signature of the post-Chernobyl papillary thyroid cancer
Published in
European Journal of Nuclear Medicine and Molecular Imaging, January 2016
DOI 10.1007/s00259-015-3303-3
Pubmed ID
Authors

Daria Handkiewicz-Junak, Michal Swierniak, Dagmara Rusinek, Małgorzata Oczko-Wojciechowska, Genevieve Dom, Carine Maenhaut, Kristian Unger, Vincent Detours, Tetiana Bogdanova, Geraldine Thomas, Ilya Likhtarov, Roman Jaksik, Malgorzata Kowalska, Ewa Chmielik, Michal Jarzab, Andrzej Swierniak, Barbara Jarzab

Abstract

Following the nuclear accidents in Chernobyl and later in Fukushima, the nuclear community has been faced with important issues concerning how to search for and diagnose biological consequences of low-dose internal radiation contamination. Although after the Chernobyl accident an increase in childhood papillary thyroid cancer (PTC) was observed, it is still not clear whether the molecular biology of PTCs associated with low-dose radiation exposure differs from that of sporadic PTC. We investigated tissue samples from 65 children/young adults with PTC using DNA microarray (Affymetrix, Human Genome U133 2.0 Plus) with the aim of identifying molecular differences between radiation-induced (exposed to Chernobyl radiation, ECR) and sporadic PTC. All participants were resident in the same region so that confounding factors related to genetics or environment were minimized. There were small but significant differences in the gene expression profiles between ECR and non-ECR PTC (global test, p < 0.01), with 300 differently expressed probe sets (p < 0.001) corresponding to 239 genes. Multifactorial analysis of variance showed that besides radiation exposure history, the BRAF mutation exhibited independent effects on the PTC expression profile; the histological subset and patient age at diagnosis had negligible effects. Ten genes (PPME1, HDAC11, SOCS7, CIC, THRA, ERBB2, PPP1R9A, HDGF, RAD51AP1, and CDK1) from the 19 investigated with quantitative RT-PCR were confirmed as being associated with radiation exposure in an independent, validation set of samples. Significant, but subtle, differences in gene expression in the post-Chernobyl PTC are associated with previous low-dose radiation exposure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 244 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Professor 7 13%
Student > Ph. D. Student 6 11%
Student > Bachelor 6 11%
Professor > Associate Professor 4 7%
Other 9 16%
Unknown 16 29%
Readers by discipline Count As %
Medicine and Dentistry 17 30%
Biochemistry, Genetics and Molecular Biology 9 16%
Agricultural and Biological Sciences 6 11%
Nursing and Health Professions 2 4%
Computer Science 2 4%
Other 4 7%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 172. 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 08 December 2023.
All research outputs
#240,709
of 25,852,155 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#11
of 3,548 outputs
Outputs of similar age
#4,168
of 408,066 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#1
of 51 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,548 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 99% 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 408,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.