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Timeline
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Attention Score in Context
Title |
Minimal Models of Some Differential Graded Modules
|
---|---|
Published in |
Applied Categorical Structures, January 2023
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DOI | 10.1007/s10485-022-09708-7 |
Authors |
Berrin Şentürk, Özgün Ünlü |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
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 27 December 2022.
All research outputs
#14,586,352
of 25,067,172 outputs
Outputs from Applied Categorical Structures
#33
of 98 outputs
Outputs of similar age
#185,784
of 471,907 outputs
Outputs of similar age from Applied Categorical Structures
#1
of 1 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 98 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 67% 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 471,907 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 59% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them