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The computational implementation of a platform of relative identity-by-descent scores algorithm for introgressive mapping

Overview of attention for article published in Frontiers in Genetics, January 2023
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Title
The computational implementation of a platform of relative identity-by-descent scores algorithm for introgressive mapping
Published in
Frontiers in Genetics, January 2023
DOI 10.3389/fgene.2022.1028662
Pubmed ID
Authors

Bo Cui, Zhongxu Guo, Hongbo Cao, Mario Calus, Qianqian Zhang

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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 24 January 2023.
All research outputs
#20,601,627
of 23,189,371 outputs
Outputs from Frontiers in Genetics
#8,817
of 12,221 outputs
Outputs of similar age
#250,480
of 323,334 outputs
Outputs of similar age from Frontiers in Genetics
#240
of 489 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,221 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% 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 323,334 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 489 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.