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Can metagenomic next-generation sequencing identify the pathogens responsible for culture-negative prosthetic joint infection?

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

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Can metagenomic next-generation sequencing identify the pathogens responsible for culture-negative prosthetic joint infection?
Published in
BMC Infectious Diseases, March 2020
DOI 10.1186/s12879-020-04955-2
Pubmed ID
Authors

Chaoxin Wang, Zida Huang, Wenbo Li, Xinyu Fang, Wenming Zhang

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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 13%
Student > Ph. D. Student 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Researcher 3 7%
Other 10 22%
Unknown 17 37%
Readers by discipline Count As %
Medicine and Dentistry 13 28%
Biochemistry, Genetics and Molecular Biology 3 7%
Nursing and Health Professions 2 4%
Immunology and Microbiology 2 4%
Veterinary Science and Veterinary Medicine 2 4%
Other 4 9%
Unknown 20 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2021.
All research outputs
#13,675,702
of 23,201,298 outputs
Outputs from BMC Infectious Diseases
#3,427
of 7,780 outputs
Outputs of similar age
#185,025
of 369,997 outputs
Outputs of similar age from BMC Infectious Diseases
#43
of 130 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 53% 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 369,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 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 64% of its contemporaries.