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SiftCell: A robust framework to detect and isolate cell-containing droplets from single-cell RNA sequence reads

Overview of attention for article published in Cell Systems, July 2023
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Title
SiftCell: A robust framework to detect and isolate cell-containing droplets from single-cell RNA sequence reads
Published in
Cell Systems, July 2023
DOI 10.1016/j.cels.2023.06.002
Pubmed ID
Authors

Jingyue Xi, Sung Rye Park, Jun Hee Lee, Hyun Min Kang

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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 21 July 2023.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from Cell Systems
#911
of 981 outputs
Outputs of similar age
#256,358
of 370,193 outputs
Outputs of similar age from Cell Systems
#23
of 27 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. 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 370,193 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.