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Systems Analysis of Human Multigene Disorders

Overview of attention for book
Attention for Chapter 5: A personalized treatment for lung cancer: molecular pathways, targeted therapies, and genomic characterization.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 news outlet
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3 X users
googleplus
1 Google+ user

Citations

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11 Dimensions

Readers on

mendeley
107 Mendeley
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Chapter title
A personalized treatment for lung cancer: molecular pathways, targeted therapies, and genomic characterization.
Chapter number 5
Book title
Systems Analysis of Human Multigene Disorders
Published in
Advances in experimental medicine and biology, January 2014
DOI 10.1007/978-1-4614-8778-4_5
Pubmed ID
Book ISBNs
978-1-4614-8777-7, 978-1-4614-8778-4
Authors

Thomas Hensing, Apoorva Chawla, Rishi Batra, Ravi Salgia, Hensing T, Chawla A, Batra R, Salgia R, Hensing, Thomas, Chawla, Apoorva, Batra, Rishi, Salgia, Ravi

Abstract

Lung cancer is a heterogeneous, complex, and challenging disease to treat. With the arrival of genotyping and genomic profiling, our simple binary division of lung cancer into non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) is no longer acceptable. In the past decade and with the advent of personalized medicine, multiple advances have been made in understanding the underlying biology and molecular mechanisms of lung cancer. Lung cancer is no longer considered a single disease entity and is now being subdivided into molecular subtypes with dedicated targeted and chemotherapeutic strategies. The concept of using information from a patient's tumor to make therapeutic and treatment decisions has revolutionized the landscape for cancer care and research in general.Management of non-small-cell lung cancer, in particular, has seen several of these advances, with the understanding of activating mutations in EGFR, fusion genes involving ALK, rearrangements in ROS-1, and ongoing research in targeted therapies for K-RAS and MET. The next era of personalized treatment for lung cancer will involve a comprehensive genomic characterization of adenocarcinoma, squamous-cell carcinoma, and small-cell carcinoma into various subtypes. Future directions will involve incorporation of molecular characteristics and next generation sequencing into screening strategies to improve early detection, while also having applications for joint treatment decision making in the clinics with patients and practitioners. Personalization of therapy will involve close collaboration between the laboratory and the clinic. Given the heterogeneity and complexity of lung cancer treatment with respect to histology, tumor stage, and genomic characterization, mind mapping has been developed as one of many tools which can assist physicians in this era of personalized medicine. We attempt to utilize the above tool throughout this chapter, while reviewing lung cancer epidemiology, lung cancer treatment, and the genomic characterization of lung cancer.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 17%
Student > Ph. D. Student 17 16%
Researcher 11 10%
Student > Doctoral Student 10 9%
Student > Master 9 8%
Other 14 13%
Unknown 28 26%
Readers by discipline Count As %
Medicine and Dentistry 30 28%
Biochemistry, Genetics and Molecular Biology 16 15%
Agricultural and Biological Sciences 13 12%
Pharmacology, Toxicology and Pharmaceutical Science 7 7%
Nursing and Health Professions 4 4%
Other 9 8%
Unknown 28 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 December 2023.
All research outputs
#2,516,728
of 24,991,957 outputs
Outputs from Advances in experimental medicine and biology
#383
of 5,250 outputs
Outputs of similar age
#28,510
of 318,201 outputs
Outputs of similar age from Advances in experimental medicine and biology
#15
of 144 outputs
Altmetric has tracked 24,991,957 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,250 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 92% 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 318,201 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 90% of its contemporaries.
We're also able to compare this research output to 144 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 90% of its contemporaries.