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X Demographics
Mendeley readers
Attention Score in Context
| Title |
許容される二次投稿
|
|---|---|
| Published in |
Journal of Natural Language Processing, January 2022
|
| DOI | 10.5715/jnlp.29.1037 |
| Authors |
浅原 正幸, 吉田 光男, 宮尾 祐介, 内山 将夫 |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 15 | 56% |
| Unknown | 12 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 85% |
| Scientists | 4 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 25% |
| Student > Ph. D. Student | 1 | 25% |
| Other | 1 | 25% |
| Student > Doctoral Student | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 1 | 25% |
| Social Sciences | 1 | 25% |
| Medicine and Dentistry | 1 | 25% |
| Unknown | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 December 2023.
All research outputs
#2,106,110
of 25,658,541 outputs
Outputs from Journal of Natural Language Processing
#4
of 184 outputs
Outputs of similar age
#50,835
of 517,714 outputs
Outputs of similar age from Journal of Natural Language Processing
#2
of 23 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 184 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 517,714 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.