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X Demographics
Attention Score in Context
| Title |
国民年金法の述語論理による記述と検証 SMTソルバーZ3Pyを用いたケーススタディ
|
|---|---|
| Published in |
Computer Software, September 2019
|
| DOI | 10.11309/jssst.36.3_33 |
| Authors |
片山 卓也 |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 February 2022.
All research outputs
#15,485,623
of 25,852,155 outputs
Outputs from Computer Software
#64
of 165 outputs
Outputs of similar age
#188,350
of 358,871 outputs
Outputs of similar age from Computer Software
#2
of 4 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 165 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 56% 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 358,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.