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Applications of next-generation sequencing analysis for the detection of hepatocellular carcinoma-associated hepatitis B virus mutations

Overview of attention for article published in Journal of Biomedical Science, June 2018
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Mentioned by

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2 X users

Citations

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23 Dimensions

Readers on

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58 Mendeley
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Title
Applications of next-generation sequencing analysis for the detection of hepatocellular carcinoma-associated hepatitis B virus mutations
Published in
Journal of Biomedical Science, June 2018
DOI 10.1186/s12929-018-0442-4
Pubmed ID
Authors

I-Chin Wu, Wen-Chun Liu, Ting-Tsung Chang

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Bachelor 7 12%
Student > Ph. D. Student 5 9%
Student > Master 5 9%
Student > Doctoral Student 3 5%
Other 6 10%
Unknown 22 38%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Biochemistry, Genetics and Molecular Biology 9 16%
Agricultural and Biological Sciences 3 5%
Social Sciences 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 12%
Unknown 22 38%
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 04 June 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Journal of Biomedical Science
#871
of 1,101 outputs
Outputs of similar age
#267,297
of 342,939 outputs
Outputs of similar age from Journal of Biomedical Science
#11
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 12th percentile – i.e., 12% 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 342,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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.