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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of COVID-19 Data Using Hybrid Modeling Approaches
|
|---|---|
| Published in |
Frontiers in Public Health, July 2022
|
| DOI | 10.3389/fpubh.2022.923978 |
| Pubmed ID | |
| Authors |
Weiping Zhao, Yunpeng Sun, Ying Li, Weimin Guan |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 38% |
| Student > Bachelor | 1 | 6% |
| Lecturer | 1 | 6% |
| Researcher | 1 | 6% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 19% |
| Environmental Science | 1 | 6% |
| Earth and Planetary Sciences | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 50% |
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 25 July 2022.
All research outputs
#14,796,471
of 22,957,478 outputs
Outputs from Frontiers in Public Health
#3,978
of 10,103 outputs
Outputs of similar age
#215,441
of 432,969 outputs
Outputs of similar age from Frontiers in Public Health
#336
of 1,209 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 59% 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 432,969 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,209 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.