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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

twitter
2 tweeters

Citations

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9 Dimensions

Readers on

mendeley
41 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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Bachelor 5 12%
Student > Master 3 7%
Student > Ph. D. Student 3 7%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 12 29%
Readers by discipline Count As %
Medicine and Dentistry 10 24%
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 3 7%
Social Sciences 2 5%
Computer Science 1 2%
Other 7 17%
Unknown 12 29%

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
#10,959,804
of 13,796,475 outputs
Outputs from Journal of Biomedical Science
#519
of 676 outputs
Outputs of similar age
#145,345
of 201,012 outputs
Outputs of similar age from Journal of Biomedical Science
#24
of 45 outputs
Altmetric has tracked 13,796,475 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 676 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 14th percentile – i.e., 14% 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 201,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.