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High Spatiotemporal Precision Mapping of Optical Nanosensor Array Using Machine Learning

Overview of attention for article published in ACS Sensors, September 2024
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
High Spatiotemporal Precision Mapping of Optical Nanosensor Array Using Machine Learning
Published in
ACS Sensors, September 2024
DOI 10.1021/acssensors.4c01763
Pubmed ID
Authors

Changyu Tian, Seyoung Shin, Youngwook Cho, Youngho Song, Soo-Yeon Cho

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 September 2024.
All research outputs
#6,851,512
of 26,680,103 outputs
Outputs from ACS Sensors
#566
of 2,838 outputs
Outputs of similar age
#33,804
of 138,360 outputs
Outputs of similar age from ACS Sensors
#9
of 59 outputs
Altmetric has tracked 26,680,103 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,838 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 79% 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 138,360 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.