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X Demographics
Attention Score in Context
| Title |
感染症流行の数理モデルによるインフルエンザワクチン製造の資源配分の最適化
|
|---|---|
| Published in |
SEISAN KENKYU, August 2009
|
| DOI | 10.11188/seisankenkyu.61.797 |
| Authors |
西浦 博, 合原 一幸 |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
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 25 February 2021.
All research outputs
#15,485,623
of 25,852,155 outputs
Outputs from SEISAN KENKYU
#54
of 93 outputs
Outputs of similar age
#103,379
of 124,820 outputs
Outputs of similar age from SEISAN KENKYU
#1
of 1 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 93 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 36th percentile – i.e., 36% 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 124,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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