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PML: Regulation and multifaceted function beyond tumor suppression

Overview of attention for article published in Cell & Bioscience, January 2018
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Title
PML: Regulation and multifaceted function beyond tumor suppression
Published in
Cell & Bioscience, January 2018
DOI 10.1186/s13578-018-0204-8
Pubmed ID
Authors

Kuo-Sheng Hsu, Hung-Ying Kao

Abstract

Promyelocytic leukemia protein (PML) was originally identified as a fusion partner of retinoic acid receptor alpha in acute promyelocytic leukemia patients with the (15;17) chromosomal translocation, giving rise to PML-RARα and RARα-PML fusion proteins. A body of evidence indicated that PML possesses tumor suppressing activity by regulating apoptosis, cell cycle, senescence and DNA damage responses. PML is enriched in discrete nuclear substructures in mammalian cells with 0.2-1 μm diameter in size, referred to as alternately Kremer bodies, nuclear domain 10, PML oncogenic domains or PML nuclear bodies (NBs). Dysregulation of PML NB formation results in altered transcriptional regulation, protein modification, apoptosis and cellular senescence. In addition to PML NBs, PML is also present in nucleoplasm and cytoplasmic compartments, including the endoplasmic reticulum and mitochondria-associated membranes. The role of PML in tumor suppression has been extensively studied but increasing evidence indicates that PML also plays versatile roles in stem cell renewal, metabolism, inflammatory responses, neural function, mammary development and angiogenesis. In this review, we will briefly describe the known PML regulation and function and include new findings.

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

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Student > Bachelor 23 16%
Researcher 19 13%
Student > Master 16 11%
Student > Postgraduate 6 4%
Other 14 10%
Unknown 43 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 41%
Agricultural and Biological Sciences 19 13%
Medicine and Dentistry 7 5%
Immunology and Microbiology 6 4%
Neuroscience 2 1%
Other 9 6%
Unknown 43 29%
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 09 February 2018.
All research outputs
#14,374,920
of 23,023,224 outputs
Outputs from Cell & Bioscience
#324
of 945 outputs
Outputs of similar age
#240,664
of 441,133 outputs
Outputs of similar age from Cell & Bioscience
#4
of 16 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 945 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 61% 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 441,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.