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Performance evaluation and clinical validation of optimized nucleotide MALDI-TOF-MS for mycobacterial identification

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, December 2022
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2 X users

Citations

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Title
Performance evaluation and clinical validation of optimized nucleotide MALDI-TOF-MS for mycobacterial identification
Published in
Frontiers in Cellular and Infection Microbiology, December 2022
DOI 10.3389/fcimb.2022.1079184
Pubmed ID
Authors

Baiying Li, Chi Zhu, Lifang Sun, Hang Dong, Yaping Sun, Shangzhi Cao, Libo Zhen, Qi Qi, Quanquan Zhang, Ting Mo, Huijie Wang, Meihua Qiu, Chao Song, Qingshan Cai

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 33%
Student > Doctoral Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Immunology and Microbiology 1 17%
Neuroscience 1 17%
Unknown 3 50%
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 19 December 2022.
All research outputs
#20,717,791
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#6,047
of 8,110 outputs
Outputs of similar age
#358,518
of 485,365 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#318
of 437 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 5th percentile – i.e., 5% 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 485,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 437 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.