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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction
|
|---|---|
| Published in |
Frontiers in Public Health, March 2022
|
| DOI | 10.3389/fpubh.2022.860396 |
| Pubmed ID | |
| Authors |
Junaid Rashid, Saba Batool, Jungeun Kim, Muhammad Wasif Nisar, Amir Hussain, Sapna Juneja, Riti Kushwaha |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 8% |
| Student > Master | 9 | 6% |
| Unspecified | 8 | 6% |
| Lecturer | 7 | 5% |
| Researcher | 7 | 5% |
| Other | 16 | 11% |
| Unknown | 87 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 12% |
| Engineering | 9 | 6% |
| Unspecified | 6 | 4% |
| Medicine and Dentistry | 5 | 3% |
| Arts and Humanities | 4 | 3% |
| Other | 17 | 12% |
| Unknown | 86 | 59% |
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 16 October 2022.
All research outputs
#15,660,793
of 23,885,338 outputs
Outputs from Frontiers in Public Health
#4,599
of 11,758 outputs
Outputs of similar age
#238,697
of 430,540 outputs
Outputs of similar age from Frontiers in Public Health
#336
of 1,011 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 55% 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 430,540 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 1,011 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 61% of its contemporaries.