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Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images

Overview of attention for article published in BMC Bioinformatics, October 2019
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Title
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images
Published in
BMC Bioinformatics, October 2019
DOI 10.1186/s12859-019-3133-6
Authors

Fuyong Xing, Yuanpu Xie, Xiaoshuang Shi, Pingjun Chen, Zizhao Zhang, Lin Yang

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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 24 October 2019.
All research outputs
#12,260,292
of 16,080,504 outputs
Outputs from BMC Bioinformatics
#4,596
of 5,828 outputs
Outputs of similar age
#224,634
of 329,653 outputs
Outputs of similar age from BMC Bioinformatics
#471
of 592 outputs
Altmetric has tracked 16,080,504 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,828 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 15th percentile – i.e., 15% 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 329,653 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 592 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.