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X Demographics
Attention Score in Context
| Title |
在住外国人のための求職場面で使われる語彙の計量分析 コーパスとテキストマイニングによるアプローチ
|
|---|---|
| Published in |
Mathematical Linguistics, September 2022
|
| DOI | 10.24701/mathling.33.2_81 |
| Authors |
亀井 信一 |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 September 2022.
All research outputs
#17,604,954
of 25,806,763 outputs
Outputs from Mathematical Linguistics
#10
of 22 outputs
Outputs of similar age
#255,437
of 437,240 outputs
Outputs of similar age from Mathematical Linguistics
#1
of 1 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 12 of them.
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 437,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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