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Attention Score in Context
Title |
Predictive uncertainty analysis for a highly parameterized karst aquifer using null-space Monte Carlo
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Published in |
Frontiers in Water, July 2024
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DOI | 10.3389/frwa.2024.1384983 |
Authors |
Husam Musa Baalousha |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
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 17 July 2024.
All research outputs
#23,656,949
of 26,335,402 outputs
Outputs from Frontiers in Water
#500
of 779 outputs
Outputs of similar age
#104,882
of 133,834 outputs
Outputs of similar age from Frontiers in Water
#5
of 14 outputs
Altmetric has tracked 26,335,402 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 779 research outputs from this source. They receive a mean Attention Score of 4.3. 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 133,834 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 14 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.