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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Short-Term Forecasting of Daily Confirmed COVID-19 Cases in Malaysia Using RF-SSA Model
|
|---|---|
| Published in |
Frontiers in Public Health, June 2021
|
| DOI | 10.3389/fpubh.2021.604093 |
| Pubmed ID | |
| Authors |
Shazlyn Milleana Shaharudin, Shuhaida Ismail, Noor Artika Hassan, Mou Leong Tan, Nurul Ainina Filza Sulaiman |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 16% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Postgraduate | 2 | 5% |
| Unspecified | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 19 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 14% |
| Physics and Astronomy | 3 | 7% |
| Environmental Science | 2 | 5% |
| Unspecified | 2 | 5% |
| Mathematics | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 20 | 47% |
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 01 July 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Frontiers in Public Health
#6,136
of 10,831 outputs
Outputs of similar age
#321,842
of 446,909 outputs
Outputs of similar age from Frontiers in Public Health
#359
of 610 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,831 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 25th percentile – i.e., 25% 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 446,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 610 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.