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A machine learning-based strategy to elucidate the identification of antibiotic resistance in bacteria

Overview of attention for article published in Frontiers in Antibiotics, June 2024
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Title
A machine learning-based strategy to elucidate the identification of antibiotic resistance in bacteria
Published in
Frontiers in Antibiotics, June 2024
DOI 10.3389/frabi.2024.1405296
Authors

K. T. Shreya Parthasarathi, Kiran Bharat Gaikwad, Shruthy Rajesh, Shweta Rana, Akhilesh Pandey, Harpreet Singh, Jyoti Sharma

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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 29 June 2024.
All research outputs
#21,351,685
of 26,210,036 outputs
Outputs from Frontiers in Antibiotics
#17
of 27 outputs
Outputs of similar age
#119,415
of 181,506 outputs
Outputs of similar age from Frontiers in Antibiotics
#4
of 9 outputs
Altmetric has tracked 26,210,036 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 27 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 10 of them.
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 181,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.