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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development
|
---|---|
Chapter number | 76 |
Book title |
Neural Information Processing
|
Published in |
arXiv, January 2021
|
DOI | 10.1007/978-3-030-92310-5_76 |
Book ISBNs |
978-3-03-092309-9, 978-3-03-092310-5
|
Authors |
Huy, Ta Duc, Tu, Nguyen Anh, Vu, Tran Hoang, Minh, Nguyen Phuc, Phan, Nguyen, Bui, Trung H., Truong, Steven Q. H., Ta Duc Huy, Nguyen Anh Tu, Tran Hoang Vu, Nguyen Phuc Minh, Nguyen Phan, Trung H. Bui, Steven Q. H. Truong |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 17% |
Researcher | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 8 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 25% |
Business, Management and Accounting | 1 | 8% |
Unknown | 8 | 67% |
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 30 April 2023.
All research outputs
#18,422,831
of 23,655,983 outputs
Outputs from arXiv
#453,777
of 976,807 outputs
Outputs of similar age
#358,661
of 505,386 outputs
Outputs of similar age from arXiv
#14,130
of 31,413 outputs
Altmetric has tracked 23,655,983 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 976,807 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% 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 505,386 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31,413 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.