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Adaptive slope reliability analysis method based on sliced inverse regression dimensionality reduction

Overview of attention for article published in Frontiers in Ecology and Evolution, September 2023
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Title
Adaptive slope reliability analysis method based on sliced inverse regression dimensionality reduction
Published in
Frontiers in Ecology and Evolution, September 2023
DOI 10.3389/fevo.2023.1257854
Authors

Zheng Zhou, Hai-Bin Xiong, Wen-Xia Wu, Yi-Jian Yang, Xu-Hai Yang

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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 22 September 2023.
All research outputs
#21,948,267
of 24,488,567 outputs
Outputs from Frontiers in Ecology and Evolution
#3,984
of 4,932 outputs
Outputs of similar age
#129,010
of 159,578 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#54
of 127 outputs
Altmetric has tracked 24,488,567 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 4,932 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 159,578 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 127 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.