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Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis

Overview of attention for article published in Frontiers in oncology, May 2018
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Title
Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis
Published in
Frontiers in oncology, May 2018
DOI 10.3389/fonc.2018.00159
Pubmed ID
Authors

Rute M. S. M. Pedrosa, Dana A. M. Mustafa, Joachim G. J. V. Aerts, Johan M. Kros

Abstract

Brain metastases are the most common tumors of the central nervous system (CNS). Incidence rates vary according to primary tumor origin, whereas the majority of the cerebral metastases arise from primary tumors in the lung (40-50%). Brain metastases from lung cancer can occur concurrently or within months after lung cancer diagnosis. Survival rates after lung cancer brain metastasis diagnosis remain poor, to an utmost of 10 months. Therefore, prevention of brain metastasis is a critical concern in order to improve survival among cancer patients. Although several studies have been made in order to disclose the genetic and molecular mechanisms associated with CNS metastasis, the precise mechanisms that govern the CNS metastasis from lung cancer are yet to be clarified. The ability to forecast, which patients have a higher risk of brain metastasis occurrence, would aid cancer management approaches to diminish or prevent the development of brain metastasis and improve the clinical outcome for such patients. In this work, we revise genetic and molecular targets suitable for prediction of lung cancer CNS disease.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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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 %
Researcher 7 21%
Student > Ph. D. Student 6 18%
Student > Bachelor 5 15%
Student > Doctoral Student 3 9%
Other 3 9%
Other 8 24%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 13 39%
Biochemistry, Genetics and Molecular Biology 7 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Environmental Science 1 3%
Computer Science 1 3%
Other 3 9%
Unknown 6 18%
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 28 October 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Frontiers in oncology
#9,328
of 22,428 outputs
Outputs of similar age
#249,461
of 339,382 outputs
Outputs of similar age from Frontiers in oncology
#91
of 152 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,428 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 49th percentile – i.e., 49% 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 339,382 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.