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Radiation-induced myeloid leukemia in murine models

Overview of attention for article published in Human Genomics, July 2014
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  • Good Attention Score compared to outputs of the same age (70th percentile)

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Title
Radiation-induced myeloid leukemia in murine models
Published in
Human Genomics, July 2014
DOI 10.1186/1479-7364-8-13
Pubmed ID
Authors

Leena Rivina, Michael Davoren, Robert H Schiestl

Abstract

The use of radiation therapy is a cornerstone of modern cancer treatment. The number of patients that undergo radiation as a part of their therapy regimen is only increasing every year, but this does not come without cost. As this number increases, so too does the incidence of secondary, radiation-induced neoplasias, creating a need for therapeutic agents targeted specifically towards incidence reduction and treatment of these cancers. Development and efficacy testing of these agents requires not only extensive in vitro testing but also a set of reliable animal models to accurately recreate the complex situations of radiation-induced carcinogenesis. As radiation-induced leukemic progression often involves genomic changes such as rearrangements, deletions, and changes in methylation, the laboratory mouse Mus musculus, with its fully sequenced genome, is a powerful tool in cancer research. This fact, combined with the molecular and physiological similarities it shares with man and its small size and high rate of breeding in captivity, makes it the most relevant model to use in radiation-induced leukemia research. In this work, we review relevant M. musculus inbred and F1 hybrid animal models, as well as methods of induction of radiation-induced myeloid leukemia. Associated molecular pathologies are also included.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 6 14%
Student > Master 5 12%
Student > Bachelor 3 7%
Other 3 7%
Other 7 17%
Unknown 10 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 21%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 3 7%
Immunology and Microbiology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 7 17%
Unknown 13 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 May 2020.
All research outputs
#7,937,591
of 25,374,647 outputs
Outputs from Human Genomics
#189
of 564 outputs
Outputs of similar age
#71,332
of 240,156 outputs
Outputs of similar age from Human Genomics
#5
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 66% 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 240,156 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 70% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.