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Bioinformatics analysis of the epitope regions for norovirus capsid protein

Overview of attention for article published in BMC Bioinformatics, March 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Bioinformatics analysis of the epitope regions for norovirus capsid protein
Published in
BMC Bioinformatics, March 2013
DOI 10.1186/1471-2105-14-s4-s5
Pubmed ID
Authors

Liping Chen, Di Wu, Lei Ji, Xiaofang Wu, Deshun Xu, Zhiwei Cao, Jiankang Han

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
United States 2 4%
Japan 2 4%
Norway 1 2%
Germany 1 2%
Unknown 44 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Bachelor 7 13%
Student > Master 6 12%
Professor 5 10%
Student > Ph. D. Student 4 8%
Other 14 27%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 50%
Biochemistry, Genetics and Molecular Biology 10 19%
Medicine and Dentistry 4 8%
Engineering 2 4%
Computer Science 1 2%
Other 3 6%
Unknown 6 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 April 2019.
All research outputs
#8,371,139
of 25,011,749 outputs
Outputs from BMC Bioinformatics
#3,186
of 7,633 outputs
Outputs of similar age
#68,232
of 200,572 outputs
Outputs of similar age from BMC Bioinformatics
#71
of 139 outputs
Altmetric has tracked 25,011,749 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,633 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 200,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.