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Metagenomic analysis using next-generation sequencing of pathogens in bronchoalveolar lavage fluid from pediatric patients with respiratory failure

Overview of attention for article published in Scientific Reports, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
4 X users

Citations

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37 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Metagenomic analysis using next-generation sequencing of pathogens in bronchoalveolar lavage fluid from pediatric patients with respiratory failure
Published in
Scientific Reports, September 2019
DOI 10.1038/s41598-019-49372-x
Pubmed ID
Authors

Suguru Takeuchi, Jun-ichi Kawada, Kazuhiro Horiba, Yusuke Okuno, Toshihiko Okumura, Takako Suzuki, Yuka Torii, Shinji Kawabe, Sho Wada, Takanari Ikeyama, Yoshinori Ito

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Master 4 8%
Student > Bachelor 4 8%
Student > Ph. D. Student 2 4%
Other 2 4%
Other 10 20%
Unknown 20 40%
Readers by discipline Count As %
Medicine and Dentistry 7 14%
Biochemistry, Genetics and Molecular Biology 7 14%
Agricultural and Biological Sciences 5 10%
Immunology and Microbiology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 10%
Unknown 21 42%
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 09 March 2021.
All research outputs
#7,755,290
of 23,577,654 outputs
Outputs from Scientific Reports
#53,078
of 127,511 outputs
Outputs of similar age
#134,995
of 342,329 outputs
Outputs of similar age from Scientific Reports
#1,416
of 3,276 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has gotten more attention than average, scoring higher than 56% 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 342,329 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 55% of its contemporaries.
We're also able to compare this research output to 3,276 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.