| Title |
Using Big Data-machine learning models for diabetes prediction and flight delays analytics
|
|---|---|
| Published in |
Journal of Big Data, September 2020
|
| DOI | 10.1186/s40537-020-00355-0 |
| Authors |
Thérence Nibareke, Jalal Laassiri |
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 % |
|---|---|---|
| United States | 2 | 18% |
| Singapore | 1 | 9% |
| Romania | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 144 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 26 | 18% |
| Student > Bachelor | 13 | 9% |
| Student > Ph. D. Student | 12 | 8% |
| Student > Master | 10 | 7% |
| Lecturer | 6 | 4% |
| Other | 18 | 13% |
| Unknown | 59 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 52 | 36% |
| Business, Management and Accounting | 10 | 7% |
| Engineering | 9 | 6% |
| Social Sciences | 4 | 3% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 6 | 4% |
| Unknown | 60 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 24 May 2021.
All research outputs
#4,195,463
of 23,237,082 outputs
Outputs from Journal of Big Data
#73
of 349 outputs
Outputs of similar age
#102,970
of 407,684 outputs
Outputs of similar age from Journal of Big Data
#3
of 22 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 349 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 79% 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 407,684 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 74% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.