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Attention Score in Context
Title |
On Billaud words and their companions
|
---|---|
Published in |
Theoretical Computer Science, January 2023
|
DOI | 10.1016/j.tcs.2022.11.004 |
Authors |
Szymon Łopaciuk, Daniel Reidenbach |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 November 2022.
All research outputs
#8,544,090
of 25,392,582 outputs
Outputs from Theoretical Computer Science
#337
of 1,868 outputs
Outputs of similar age
#160,377
of 475,273 outputs
Outputs of similar age from Theoretical Computer Science
#3
of 16 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,868 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 46th percentile – i.e., 46% 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 475,273 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 63% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.