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Timeline
X Demographics
Attention Score in Context
Title |
Adding a Degree of Certainty to Deductions in a Fuzzy Temporal Constraint Prolog: FTCProlog
|
---|---|
Published in |
Axioms, July 2024
|
DOI | 10.3390/axioms13070472 |
Authors |
María-Antonia Cárdenas-Viedma |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 July 2024.
All research outputs
#7,720,384
of 26,383,519 outputs
Outputs from Axioms
#20
of 1,084 outputs
Outputs of similar age
#53,758
of 196,547 outputs
Outputs of similar age from Axioms
#1
of 12 outputs
Altmetric has tracked 26,383,519 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,084 research outputs from this source. They receive a mean Attention Score of 0.9. This one has done particularly well, scoring higher than 98% of its peers.
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 196,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.