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Cancer Cell Signaling

Overview of attention for book
Cover of 'Cancer Cell Signaling'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Fighting Cancer Resistance: An Overview
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    Chapter 2 Prostate Cancer Spheroids: A Three-Dimensional Model for Studying Tumor Heterogeneity
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    Chapter 3 Enrichment and Transcriptional Characterization of Stem Cells Isolated from Human Glioblastoma Cell Lines
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    Chapter 4 Reverse Docking for the Identification of Molecular Targets of Anticancer Compounds
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    Chapter 5 Mouse Model for Efficient Simultaneous Targeting of Glycolysis, Glutaminolysis, and De Novo Synthesis of Fatty Acids in Colon Cancer
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    Chapter 6 Developing a Portable Device for the Identification of miRNAs in Fluids
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    Chapter 7 Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
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    Chapter 8 RNA-Sequencing Analysis Pipeline for Prognostic Marker Identification in Cancer
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    Chapter 9 Correlation of Circulating Tumor Cell Measurements with 3D Quantitative Tumor Characterization to Predict Clinical Outcomes in Cancer
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    Chapter 10 Extracellular Vesicles and Their Roles in Cancer Progression
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    Chapter 11 Analysis of Tumor-Derived Exosomes by Nanoscale Flow Cytometry
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    Chapter 12 In Vitro Models for Studying Tumor Progression
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    Chapter 13 Assessment of Cell Cycle in Primitive Chronic Myeloid Leukemia Cells by Flow Cytometry After Coculture with Endothelial Cells
  15. Altmetric Badge
    Chapter 14 Chimeric Antigen Receptor (CAR) T Cell Therapy for Cancer. Challenges and Opportunities: An Overview
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    Chapter 15 Cell-Internalization SELEX of RNA Aptamers as a Starting Point for Prostate Cancer Research
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    Chapter 16 Generation of Functional Genetic Study Models in Zebrafish Using CRISPR-Cas9
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    Chapter 17 Developing a Model for a siRNA Delivery System by Cancer Implantation into Zebrafish Circulation
  19. Altmetric Badge
    Chapter 18 Fabrication of Adhesive Substrate for Incorporating Hydrogels to Investigate the Influence of Stiffness on Cancer Cell Behavior
Attention for Chapter 7: Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Chapter title
Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
Chapter number 7
Book title
Cancer Cell Signaling
Published in
Methods in molecular biology, August 2020
DOI 10.1007/978-1-0716-0759-6_7
Pubmed ID
Book ISBNs
978-1-07-160758-9, 978-1-07-160759-6
Authors

Yi Feng, Junjie Jiang, Zhongyi Hu, Jiao Yuan, Tianli Zhang, Yutian Pan, Mu Xu, Chunsheng Li, Youyou Zhang, Lin Zhang, Xiaowen Hu, Feng, Yi, Jiang, Junjie, Hu, Zhongyi, Yuan, Jiao, Zhang, Tianli, Pan, Yutian, Xu, Mu, Li, Chunsheng, Zhang, Youyou, Zhang, Lin, Hu, Xiaowen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 5 13%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 2 5%
Other 4 11%
Unknown 13 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 29%
Agricultural and Biological Sciences 4 11%
Medicine and Dentistry 3 8%
Immunology and Microbiology 2 5%
Engineering 2 5%
Other 1 3%
Unknown 15 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 October 2020.
All research outputs
#15,093,682
of 23,230,825 outputs
Outputs from Methods in molecular biology
#4,801
of 13,317 outputs
Outputs of similar age
#236,441
of 400,184 outputs
Outputs of similar age from Methods in molecular biology
#83
of 226 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,317 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 400,184 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 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 59% of its contemporaries.