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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis
|
---|---|
Chapter number | 14 |
Book title |
Multi-disciplinary Trends in Artificial Intelligence
|
Published in |
arXiv, November 2017
|
DOI | 10.1007/978-3-319-69456-6_14 |
Book ISBNs |
978-3-31-969455-9, 978-3-31-969456-6
|
Authors |
Khuong Vo, Dang Pham, Mao Nguyen, Trung Mai, Tho Quan |
X Demographics
The data shown below were collected from the profiles of 9 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 % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 20% |
Researcher | 8 | 18% |
Student > Master | 7 | 16% |
Student > Bachelor | 4 | 9% |
Student > Postgraduate | 3 | 7% |
Other | 4 | 9% |
Unknown | 10 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 53% |
Engineering | 4 | 9% |
Environmental Science | 1 | 2% |
Linguistics | 1 | 2% |
Earth and Planetary Sciences | 1 | 2% |
Other | 3 | 7% |
Unknown | 11 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 February 2019.
All research outputs
#8,020,641
of 24,099,692 outputs
Outputs from arXiv
#178,957
of 1,020,419 outputs
Outputs of similar age
#153,127
of 445,012 outputs
Outputs of similar age from arXiv
#4,185
of 22,288 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 81% 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 445,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 22,288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.