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Real-Time Monitoring of Cancer Cells in Live Mouse Bone Marrow

Overview of attention for article published in Frontiers in immunology, August 2018
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Title
Real-Time Monitoring of Cancer Cells in Live Mouse Bone Marrow
Published in
Frontiers in immunology, August 2018
DOI 10.3389/fimmu.2018.01681
Pubmed ID
Authors

Sung Hwan Lee, Sang A Park, Yunyun Zou, Sang-Uk Seo, Chang-Duk Jun, Woo Jung Lee, Young-Min Hyun, Nam Hoon Cho

Abstract

Disseminated tumor cells in the bone marrow environment are the main cause of systemic metastasis after curative treatment for major solid tumors. However, the detailed biological processes of tumor biology in bone marrow have not been well defined in a real-time manner, because of a lack of a proper in vivo experimental model thereof. In this study, we established intravital imaging models of the bone marrow environment to enable real-time observation of cancer cells in the bone marrow. Using these novel imaging models of intact bone marrow and transplanted bone marrow of mice, respectively, via two-photon microscopy, we could first successfully track and analyze both the distribution and the phenotype of cancer cells in bone marrow of live mouse. Therefore, these novel in vivo imaging models for the bone marrow would provide a valuable tool to identify the biologic processes of cancer cells in a real-time manner in a live animal model.

X Demographics

X Demographics

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Doctoral Student 3 10%
Student > Ph. D. Student 3 10%
Student > Bachelor 3 10%
Student > Master 2 6%
Other 1 3%
Unknown 11 35%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Immunology and Microbiology 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 1 3%
Other 5 16%
Unknown 10 32%
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 18 August 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Frontiers in immunology
#27,437
of 31,537 outputs
Outputs of similar age
#299,058
of 341,958 outputs
Outputs of similar age from Frontiers in immunology
#574
of 638 outputs
Altmetric has tracked 25,385,509 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 31,537 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 341,958 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 638 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.