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Development of droplet digital PCR-based detection of bacterial pathogens in prosthetic joint infection: a preliminary study using a synthesized model plasmid

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, November 2023
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1 X user

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5 Mendeley
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Title
Development of droplet digital PCR-based detection of bacterial pathogens in prosthetic joint infection: a preliminary study using a synthesized model plasmid
Published in
Frontiers in Cellular and Infection Microbiology, November 2023
DOI 10.3389/fcimb.2023.1301446
Pubmed ID
Authors

Lee-Jung Tak, Min-Kyoung Shin, Jun-Il Yoo, Min-Chul Cho, Wanil Kim

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Professor > Associate Professor 1 20%
Student > Doctoral Student 1 20%
Student > Bachelor 1 20%
Unknown 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 40%
Unspecified 1 20%
Social Sciences 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 November 2023.
All research outputs
#22,154,370
of 24,723,421 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#7,185
of 7,637 outputs
Outputs of similar age
#132,875
of 167,690 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#158
of 159 outputs
Altmetric has tracked 24,723,421 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,637 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 167,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.