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Editorial: Asteroid modeling: Processing and combining diverse datasets

Overview of attention for article published in Frontiers in Astronomy and Space Sciences, October 2022
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Title
Editorial: Asteroid modeling: Processing and combining diverse datasets
Published in
Frontiers in Astronomy and Space Sciences, October 2022
DOI 10.3389/fspas.2022.1045609
Authors

Dagmara Anna Oszkiewicz, Josef Durech, Antti Penttilä

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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 05 October 2022.
All research outputs
#21,275,730
of 25,998,826 outputs
Outputs from Frontiers in Astronomy and Space Sciences
#998
of 1,391 outputs
Outputs of similar age
#326,298
of 442,158 outputs
Outputs of similar age from Frontiers in Astronomy and Space Sciences
#105
of 148 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,391 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 442,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 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.