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A context-free encoding scheme of protein sequences for predicting antigenicity of diverse influenza A viruses

Overview of attention for article published in BMC Genomics, December 2018
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Mentioned by

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1 Facebook page

Citations

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14 Dimensions

Readers on

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23 Mendeley
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Title
A context-free encoding scheme of protein sequences for predicting antigenicity of diverse influenza A viruses
Published in
BMC Genomics, December 2018
DOI 10.1186/s12864-018-5282-9
Pubmed ID
Authors

Xinrui Zhou, Rui Yin, Chee-Keong Kwoh, Jie Zheng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 4 17%
Student > Master 3 13%
Student > Bachelor 2 9%
Other 1 4%
Other 1 4%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 13%
Medicine and Dentistry 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Environmental Science 1 4%
Immunology and Microbiology 1 4%
Other 3 13%
Unknown 10 43%
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 26 March 2019.
All research outputs
#20,556,243
of 23,130,383 outputs
Outputs from BMC Genomics
#9,330
of 10,709 outputs
Outputs of similar age
#371,599
of 437,341 outputs
Outputs of similar age from BMC Genomics
#193
of 243 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,709 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 437,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 243 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.