The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis
|
|---|---|
| Published in |
Frontiers in Public Health, June 2022
|
| DOI | 10.3389/fpubh.2022.869238 |
| Pubmed ID | |
| Authors |
Shahab S. Band, Sina Ardabili, Atefeh Yarahmadi, Bahareh Pahlevanzadeh, Adiqa Kausar Kiani, Amin Beheshti, Hamid Alinejad-Rokny, Iman Dehzangi, Arthur Chang, Amir Mosavi, Massoud Moslehpour |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Norway | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 5 | 10% |
| Student > Master | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 27 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 12% |
| Nursing and Health Professions | 4 | 8% |
| Engineering | 4 | 8% |
| Unspecified | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 30 | 58% |
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 24 July 2022.
All research outputs
#16,494,697
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#5,067
of 14,996 outputs
Outputs of similar age
#222,539
of 450,425 outputs
Outputs of similar age from Frontiers in Public Health
#339
of 1,273 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 64% 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 450,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,273 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 71% of its contemporaries.