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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
|
|---|---|
| Chapter number | 36 |
| Book title |
Chinese Computational Linguistics
|
| Published in |
arXiv, October 2019
|
| DOI | 10.1007/978-3-030-32381-3_36 |
| Book ISBNs |
978-3-03-032380-6, 978-3-03-032381-3
|
| Authors |
Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu, Duan, Xingyi, Wang, Baoxin, Wang, Ziyue, Ma, Wentao, Cui, Yiming, Wu, Dayong, Wang, Shijin, Liu, Ting, Huo, Tianxiang, Hu, Zhen, Wang, Heng, Liu, Zhiyuan |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 53% |
| Linguistics | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Unspecified | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 14 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 April 2021.
All research outputs
#4,022,395
of 24,998,746 outputs
Outputs from arXiv
#69,585
of 1,020,408 outputs
Outputs of similar age
#75,793
of 363,629 outputs
Outputs of similar age from arXiv
#2,149
of 28,518 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,020,408 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 363,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 28,518 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 92% of its contemporaries.