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Quality control implementation for universal characterization of DNA and RNA viruses in clinical respiratory samples using single metagenomic next-generation sequencing workflow

Overview of attention for article published in BMC Infectious Diseases, October 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Quality control implementation for universal characterization of DNA and RNA viruses in clinical respiratory samples using single metagenomic next-generation sequencing workflow
Published in
BMC Infectious Diseases, October 2018
DOI 10.1186/s12879-018-3446-5
Pubmed ID
Authors

A. Bal, M. Pichon, C. Picard, J. S. Casalegno, M. Valette, I. Schuffenecker, L. Billard, S. Vallet, G. Vilchez, V. Cheynet, G. Oriol, S. Trouillet-Assant, Y. Gillet, B. Lina, K. Brengel-Pesce, F. Morfin, L. Josset

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Ph. D. Student 15 16%
Student > Master 11 12%
Student > Bachelor 5 5%
Student > Postgraduate 4 4%
Other 10 11%
Unknown 28 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 26%
Agricultural and Biological Sciences 14 15%
Immunology and Microbiology 7 7%
Medicine and Dentistry 6 6%
Veterinary Science and Veterinary Medicine 4 4%
Other 10 11%
Unknown 29 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2023.
All research outputs
#4,003,900
of 24,916,485 outputs
Outputs from BMC Infectious Diseases
#1,321
of 8,385 outputs
Outputs of similar age
#74,895
of 357,004 outputs
Outputs of similar age from BMC Infectious Diseases
#23
of 142 outputs
Altmetric has tracked 24,916,485 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 84% 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 357,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.