| Title |
Predicting Academic Performance of Students Using a Hybrid Data Mining Approach
|
|---|---|
| Published in |
Journal of Medical Systems, April 2019
|
| DOI | 10.1007/s10916-019-1295-4 |
| Pubmed ID | |
| Authors |
Bindhia K. Francis, Suvanam Sasidhar Babu |
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 % |
|---|---|---|
| India | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 370 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 370 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 12% |
| Lecturer | 42 | 11% |
| Student > Ph. D. Student | 25 | 7% |
| Researcher | 14 | 4% |
| Student > Bachelor | 14 | 4% |
| Other | 39 | 11% |
| Unknown | 190 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 105 | 28% |
| Engineering | 17 | 5% |
| Social Sciences | 7 | 2% |
| Economics, Econometrics and Finance | 6 | 2% |
| Business, Management and Accounting | 5 | 1% |
| Other | 27 | 7% |
| Unknown | 203 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 May 2019.
All research outputs
#14,448,024
of 23,144,579 outputs
Outputs from Journal of Medical Systems
#563
of 1,167 outputs
Outputs of similar age
#193,410
of 349,860 outputs
Outputs of similar age from Journal of Medical Systems
#13
of 40 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,167 research outputs from this source. They receive a mean Attention Score of 4.5. 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 349,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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 60% of its contemporaries.