| Title |
Sentiment analysis using product review data
|
|---|---|
| Published in |
Journal of Big Data, June 2015
|
| DOI | 10.1186/s40537-015-0015-2 |
| Authors |
Xing Fang, Justin Zhan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,070 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Croatia | 1 | <1% |
| India | 1 | <1% |
| Greece | 1 | <1% |
| Taiwan | 1 | <1% |
| Unknown | 1066 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 186 | 17% |
| Student > Bachelor | 138 | 13% |
| Student > Ph. D. Student | 111 | 10% |
| Lecturer | 42 | 4% |
| Researcher | 39 | 4% |
| Other | 120 | 11% |
| Unknown | 434 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 360 | 34% |
| Business, Management and Accounting | 73 | 7% |
| Engineering | 62 | 6% |
| Social Sciences | 24 | 2% |
| Economics, Econometrics and Finance | 17 | 2% |
| Other | 76 | 7% |
| Unknown | 458 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 01 May 2024.
All research outputs
#2,546,906
of 25,827,956 outputs
Outputs from Journal of Big Data
#52
of 397 outputs
Outputs of similar age
#29,483
of 264,836 outputs
Outputs of similar age from Journal of Big Data
#2
of 9 outputs
Altmetric has tracked 25,827,956 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 86% 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 264,836 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 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.