| Title |
Leveraging machine learning and big data for optimizing medication prescriptions in complex diseases: a case study in diabetes management
|
|---|---|
| Published in |
Journal of Big Data, April 2020
|
| DOI | 10.1186/s40537-020-00302-z |
| Authors |
Mahsa Madani Hosseini, Manaf Zargoush, Farrokh Alemi, Raya Elfadel Kheirbek |
X Demographics
The data shown below were collected from the profiles of 110 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 | 15 | 14% |
| India | 12 | 11% |
| Brazil | 4 | 4% |
| South Africa | 2 | 2% |
| Switzerland | 2 | 2% |
| Comoros | 2 | 2% |
| Argentina | 2 | 2% |
| Spain | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 15 | 14% |
| Unknown | 54 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 103 | 94% |
| Scientists | 6 | 5% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 15% |
| Medicine and Dentistry | 4 | 8% |
| Engineering | 4 | 8% |
| Social Sciences | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 10 | 19% |
| Unknown | 22 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 22 May 2021.
All research outputs
#736,312
of 25,753,031 outputs
Outputs from Journal of Big Data
#15
of 397 outputs
Outputs of similar age
#21,120
of 402,087 outputs
Outputs of similar age from Journal of Big Data
#1
of 14 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% 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 11.5. This one has done particularly well, scoring higher than 96% 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 402,087 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.