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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait
|
|---|---|
| Published in |
Frontiers in endocrinology, September 2019
|
| DOI | 10.3389/fendo.2019.00624 |
| Pubmed ID | |
| Authors |
Bassam Farran, Rihab AlWotayan, Hessa Alkandari, Dalia Al-Abdulrazzaq, Arshad Channanath, Thangavel Alphonse Thanaraj |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 8 | 9% |
| Student > Master | 6 | 7% |
| Other | 10 | 11% |
| Unknown | 38 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 10% |
| Engineering | 9 | 10% |
| Medicine and Dentistry | 8 | 9% |
| Nursing and Health Professions | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 44 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 September 2019.
All research outputs
#23,487,873
of 26,163,973 outputs
Outputs from Frontiers in endocrinology
#8,673
of 13,370 outputs
Outputs of similar age
#305,448
of 354,205 outputs
Outputs of similar age from Frontiers in endocrinology
#143
of 207 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% 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 354,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.