| Title |
Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis
|
|---|---|
| Published in |
Cognitive Computation, March 2018
|
| DOI | 10.1007/s12559-018-9549-x |
| Authors |
Yukun Ma, Haiyun Peng, Tahir Khan, Erik Cambria, Amir Hussain |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 222 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 16% |
| Student > Master | 26 | 12% |
| Lecturer | 16 | 7% |
| Student > Bachelor | 16 | 7% |
| Researcher | 10 | 5% |
| Other | 29 | 13% |
| Unknown | 90 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 83 | 37% |
| Engineering | 12 | 5% |
| Business, Management and Accounting | 6 | 3% |
| Social Sciences | 4 | 2% |
| Linguistics | 3 | 1% |
| Other | 16 | 7% |
| Unknown | 98 | 44% |
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 27 June 2021.
All research outputs
#17,933,348
of 23,026,672 outputs
Outputs from Cognitive Computation
#193
of 413 outputs
Outputs of similar age
#242,788
of 333,763 outputs
Outputs of similar age from Cognitive Computation
#2
of 12 outputs
Altmetric has tracked 23,026,672 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 413 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 46th percentile – i.e., 46% 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 333,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.