You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Targeted Sentiment Classification with Attentional Encoder Network
|
---|---|
Chapter number | 9 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
|
Published in |
arXiv, September 2019
|
DOI | 10.1007/978-3-030-30490-4_9 |
Book ISBNs |
978-3-03-030489-8, 978-3-03-030490-4
|
Authors |
Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao, Song, Youwei, Wang, Jiahai, Jiang, Tao, Liu, Zhiyue, Rao, Yanghui |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 215 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 34 | 16% |
Student > Ph. D. Student | 33 | 15% |
Student > Bachelor | 20 | 9% |
Researcher | 12 | 6% |
Student > Doctoral Student | 8 | 4% |
Other | 18 | 8% |
Unknown | 90 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 103 | 48% |
Engineering | 5 | 2% |
Social Sciences | 3 | 1% |
Linguistics | 2 | <1% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 9 | 4% |
Unknown | 92 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 August 2022.
All research outputs
#6,242,848
of 23,103,436 outputs
Outputs from arXiv
#131,577
of 949,639 outputs
Outputs of similar age
#111,257
of 342,418 outputs
Outputs of similar age from arXiv
#5,004
of 28,569 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 949,639 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% 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 342,418 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 67% of its contemporaries.
We're also able to compare this research output to 28,569 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.