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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting Diabetes Mellitus With Machine Learning Techniques
|
---|---|
Published in |
Frontiers in Genetics, November 2018
|
DOI | 10.3389/fgene.2018.00515 |
Pubmed ID | |
Authors |
Quan Zou, Kaiyang Qu, Yamei Luo, Dehui Yin, Ying Ju, Hua Tang |
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 % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 797 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 797 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 68 | 9% |
Student > Master | 65 | 8% |
Student > Ph. D. Student | 61 | 8% |
Researcher | 46 | 6% |
Lecturer | 28 | 4% |
Other | 105 | 13% |
Unknown | 424 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 165 | 21% |
Engineering | 48 | 6% |
Medicine and Dentistry | 26 | 3% |
Biochemistry, Genetics and Molecular Biology | 17 | 2% |
Agricultural and Biological Sciences | 15 | 2% |
Other | 79 | 10% |
Unknown | 447 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 12 September 2023.
All research outputs
#2,616,289
of 24,417,958 outputs
Outputs from Frontiers in Genetics
#640
of 13,154 outputs
Outputs of similar age
#54,844
of 356,972 outputs
Outputs of similar age from Frontiers in Genetics
#21
of 276 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,154 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 95% 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 356,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 276 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.