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Rapid multiplex MinION nanopore sequencing workflow for Influenza A viruses

Overview of attention for article published in BMC Infectious Diseases, September 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
80 Mendeley
Summary Twitter Dimensions citations
Title
Rapid multiplex MinION nanopore sequencing workflow for Influenza A viruses
Published in
BMC Infectious Diseases, September 2020
DOI 10.1186/s12879-020-05367-y
Pubmed ID
32883215
Authors

Jacqueline King, Timm Harder, Martin Beer, Anne Pohlmann

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 9 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Ph. D. Student 11 14%
Student > Master 11 14%
Student > Bachelor 6 8%
Other 5 6%
Other 19 24%
Unknown 16 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 26%
Veterinary Science and Veterinary Medicine 12 15%
Agricultural and Biological Sciences 7 9%
Unspecified 5 6%
Immunology and Microbiology 4 5%
Other 10 13%
Unknown 21 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 October 2020.
All research outputs
#6,289,849
of 23,393,513 outputs
Outputs from BMC Infectious Diseases
#1,917
of 7,817 outputs
Outputs of similar age
#134,511
of 400,555 outputs
Outputs of similar age from BMC Infectious Diseases
#27
of 146 outputs
Altmetric has tracked 23,393,513 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,817 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 75% 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 400,555 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.

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