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Patient-Derived Xenografts

Overview of attention for book
Cover of 'Patient-Derived Xenografts'

Table of Contents

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    Book Overview
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    Chapter 1 Patient-Derived Xenografts: Historical Evolution, Immunocompromised Host Models, and Translational Significance
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    Chapter 2 Patient-Derived Xenograft Models in Cancer Research: Methodology, Applications, and Future Prospects
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    Chapter 3 Patient-Derived Xenografts: A Valuable Preclinical Model for Drug Development and Biomarker Discovery
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    Chapter 4 Patient-Derived Xenograft Models for Leukemias
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    Chapter 5 Patient-Derived Orthotopic Xenograft Models for High-Grade Pediatric Brain Cancers
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    Chapter 6 Generation of Orthotopic and Subcutaneous Patient-Derived Xenograft Models from Diverse Clinical Tissue Samples of Pediatric Extracranial Solid Tumors
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    Chapter 7 Development of Orthotopic Patient-Derived Xenograft Models of Pediatric Intracranial Tumors
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    Chapter 8 A Humanized Patient-Derived Xenograft Model for Pancreatic Cancer
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    Chapter 9 Development and Expansion of Patient-Derived Xenografts for Endometrial Cancer
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    Chapter 10 A Multiplexed Approach to Assess Small Cell Lung Cancer Subtype Heterogeneity in Primary and Patient-Derived Tumor Samples
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    Chapter 11 Generation of Metastatic Cholangiocarcinoma Patient-Derived Xenograft Models
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    Chapter 12 Patient-Derived Xenograft Models for Translational Prostate Cancer Research and Drug Development
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    Chapter 13 Patient-Derived Xenograft Models for Ovarian Cancer
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    Chapter 14 Orthotopic MC-38 Allograft as a Robust Preclinical Model of Colorectal Carcinoma
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    Chapter 15 Assessing Protein Expression in Patient-Derived Xenografts Using Western Blotting
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    Chapter 16 Analysis of Protein Interactions in Patient-Derived Xenografts Using Immunoprecipitation
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    Chapter 17 A Semiautomated Proteomics and Phosphoproteomics Protocol for the Identification of Novel Therapeutic Targets and Predictive Biomarkers in In Vivo Xenograft Models of Pediatric Cancers
Attention for Chapter 14: Orthotopic MC-38 Allograft as a Robust Preclinical Model of Colorectal Carcinoma
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Chapter title
Orthotopic MC-38 Allograft as a Robust Preclinical Model of Colorectal Carcinoma
Chapter number 14
Book title
Patient-Derived Xenografts
Published in
Methods in molecular biology, January 2024
DOI 10.1007/978-1-0716-3858-3_14
Book ISBNs
978-1-07-163857-6, 978-1-07-163858-3
Authors

Yakou, Marina H., Afshar-Sterle, Shoukat, Ernst, Matthias, Mielke, Lisa A.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2024.
All research outputs
#14,796,361
of 25,884,216 outputs
Outputs from Methods in molecular biology
#3,830
of 14,393 outputs
Outputs of similar age
#131,960
of 360,756 outputs
Outputs of similar age from Methods in molecular biology
#47
of 330 outputs
Altmetric has tracked 25,884,216 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,393 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 73% 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 360,756 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.

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