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Saliva as a sampling source for the detection of leukemic fusion transcripts

Overview of attention for article published in Journal of Translational Medicine, November 2014
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Title
Saliva as a sampling source for the detection of leukemic fusion transcripts
Published in
Journal of Translational Medicine, November 2014
DOI 10.1186/s12967-014-0321-z
Pubmed ID
Authors

Dongmei Chen, Najie Song, Runfang Ni, Jiangning Zhao, Jiasheng Hu, Quanyi Lu, Qingge Li

Abstract

BackgroundSaliva has long been used as a sampling source for clinical diagnosis of oral disease such as oral squamous cell carcinoma, or therapeutic drug monitoring. The aims of this study was to ascertain if saliva RNA could be stored at room temperature and to study if saliva could be a convenient source for fusion transcripts in leukemic patients.MethodsThis is a cross-sectional diagnostic study. We first developed a Saliva RNA tube for stable storage of whole saliva RNA at room temperature. Then we detected the leukemic fusions in the whole saliva from seven leukemic patients and twenty healthy volunteers, and compared with the results obtained from the bone marrow of the patients.ResultsHuman gene transcripts could be reproducibly detected in the whole saliva for at least four weeks when stored in the developed composition at room temperature. Concordant results of the fusion transcripts were obtained between the saliva and the bone marrow in the seven leukemic patients and no fusions were detected in the healthy controls.ConclusionsThe results support our hypothesis that human whole saliva could be a reliable and convenient sampling source for the detection of leukemic fusions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 5 23%
Other 3 14%
Researcher 2 9%
Professor 1 5%
Other 2 9%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 41%
Agricultural and Biological Sciences 4 18%
Medicine and Dentistry 3 14%
Environmental Science 1 5%
Neuroscience 1 5%
Other 0 0%
Unknown 4 18%
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 01 December 2014.
All research outputs
#17,732,540
of 22,771,140 outputs
Outputs from Journal of Translational Medicine
#2,734
of 3,984 outputs
Outputs of similar age
#248,140
of 362,502 outputs
Outputs of similar age from Journal of Translational Medicine
#79
of 122 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 26th percentile – i.e., 26% 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 362,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.