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X Demographics
Mendeley readers
Attention Score in Context
Title |
Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS
|
---|---|
Published in |
Journal of Big Data, May 2020
|
DOI | 10.1186/s40537-020-00308-7 |
Authors |
P. Sasikala, L. Mary Immaculate Sheela |
X Demographics
The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 5% |
Sri Lanka | 2 | 5% |
United States | 1 | 3% |
Indonesia | 1 | 3% |
United Kingdom | 1 | 3% |
Brazil | 1 | 3% |
Germany | 1 | 3% |
Japan | 1 | 3% |
Switzerland | 1 | 3% |
Other | 3 | 8% |
Unknown | 25 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 38 | 97% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 130 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 10% |
Student > Bachelor | 13 | 10% |
Lecturer | 10 | 8% |
Student > Master | 10 | 8% |
Lecturer > Senior Lecturer | 4 | 3% |
Other | 17 | 13% |
Unknown | 63 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 44 | 34% |
Engineering | 3 | 2% |
Agricultural and Biological Sciences | 2 | 2% |
Business, Management and Accounting | 2 | 2% |
Mathematics | 2 | 2% |
Other | 12 | 9% |
Unknown | 65 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 25 September 2020.
All research outputs
#1,848,689
of 24,674,524 outputs
Outputs from Journal of Big Data
#41
of 370 outputs
Outputs of similar age
#48,772
of 394,489 outputs
Outputs of similar age from Journal of Big Data
#5
of 13 outputs
Altmetric has tracked 24,674,524 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 89% 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 394,489 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 87% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.