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Overview of the Use of Murine Models in Leukemia and Lymphoma Research

Overview of attention for article published in Frontiers in oncology, February 2017
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Title
Overview of the Use of Murine Models in Leukemia and Lymphoma Research
Published in
Frontiers in oncology, February 2017
DOI 10.3389/fonc.2017.00022
Pubmed ID
Authors

Rebecca Kohnken, Pierluigi Porcu, Anjali Mishra

Abstract

Murine models have been adopted as a significant and powerful tool in the study of cancer. The applications of murine models of cancer are numerous: mechanism discovery, oncogenesis, molecular genetics, microenvironment, metastasis, and therapeutic efficacy. Leukemias and lymphomas are a group of highly heterogeneous hematologic malignancies that affect people of all ages and ethnicities. Leukemia and lymphoma arise from hematopoietic and immune cells and usually spread widely throughout the body. The liquid nature of many of these malignancies, as well as the complex microenvironment from which they arise and their multifaceted genetic basis, has added to the difficulty in generating appropriate and translational models to study them. Murine models of leukemia and lymphoma have made substantial contributions to our understanding of the pathobiology of these disorders in humans. However, while there are many advantages to these models, limitations remain. In this review, we discuss the mouse as a model to study leukemia and lymphoma, and the importance of choosing the correct methodology. Specific examples of murine models of leukemias and lymphomas are provided, with particular attention to those that are highly translational to their human counterpart. Finally, future applications of murine models and potential for better models are discussed.

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The data shown below were collected from the profile of 1 X user 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 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 315 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 23%
Researcher 52 17%
Student > Master 33 10%
Student > Bachelor 27 9%
Student > Doctoral Student 18 6%
Other 37 12%
Unknown 75 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 88 28%
Agricultural and Biological Sciences 40 13%
Immunology and Microbiology 31 10%
Medicine and Dentistry 29 9%
Pharmacology, Toxicology and Pharmaceutical Science 16 5%
Other 31 10%
Unknown 80 25%
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 20 February 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in oncology
#15,925
of 22,428 outputs
Outputs of similar age
#284,256
of 323,273 outputs
Outputs of similar age from Frontiers in oncology
#62
of 66 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 323,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.