Title |
Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics
|
---|---|
Published in |
Journal of Big Data, May 2021
|
DOI | 10.1186/s40537-021-00466-2 |
Authors |
Kiran Chaudhary, Mansaf Alam, Mabrook S. Al-Rakhami, Abdu Gumaei |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 164 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 9% |
Lecturer | 14 | 9% |
Student > Ph. D. Student | 12 | 7% |
Student > Doctoral Student | 9 | 5% |
Student > Bachelor | 7 | 4% |
Other | 20 | 12% |
Unknown | 88 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 16% |
Business, Management and Accounting | 13 | 8% |
Engineering | 9 | 5% |
Economics, Econometrics and Finance | 5 | 3% |
Unspecified | 4 | 2% |
Other | 16 | 10% |
Unknown | 91 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 November 2023.
All research outputs
#8,284,866
of 24,791,202 outputs
Outputs from Journal of Big Data
#148
of 373 outputs
Outputs of similar age
#170,596
of 439,481 outputs
Outputs of similar age from Journal of Big Data
#10
of 16 outputs
Altmetric has tracked 24,791,202 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 373 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 gotten more attention than average, scoring higher than 56% 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 439,481 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 57% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.