| Title |
RIFT: A Rule Induction Framework for Twitter Sentiment Analysis
|
|---|---|
| Published in |
Arabian Journal for Science and Engineering, August 2017
|
| DOI | 10.1007/s13369-017-2770-1 |
| Authors |
Muhammad Zubair Asghar, Aurangzeb Khan, Furqan Khan, Fazal Masud Kundi |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 3 | 27% |
| Unknown | 8 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 9 | 18% |
| Student > Doctoral Student | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Researcher | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 47% |
| Social Sciences | 3 | 6% |
| Business, Management and Accounting | 3 | 6% |
| Engineering | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 23 September 2017.
All research outputs
#3,356,426
of 23,999,200 outputs
Outputs from Arabian Journal for Science and Engineering
#7
of 304 outputs
Outputs of similar age
#61,587
of 321,853 outputs
Outputs of similar age from Arabian Journal for Science and Engineering
#1
of 6 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 304 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 321,853 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 80% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them