| Title |
Application of the ARIMA Model in Forecasting the Incidence of Tuberculosis in Anhui During COVID-19 Pandemic from 2021 to 2022
|
|---|---|
| Published in |
Infection and Drug Resistance, July 2022
|
| DOI | 10.2147/idr.s367528 |
| Pubmed ID | |
| Authors |
Shuangshuang Chen, Xinqiang Wang, Jiawen Zhao, Yongzhong Zhang, Xiaohong Kan |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 6% |
| Lecturer | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 23 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Unspecified | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 22 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 05 August 2022.
All research outputs
#4,227,165
of 23,033,713 outputs
Outputs from Infection and Drug Resistance
#144
of 1,687 outputs
Outputs of similar age
#89,680
of 437,206 outputs
Outputs of similar age from Infection and Drug Resistance
#9
of 141 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,687 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 90% 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 437,206 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 78% of its contemporaries.
We're also able to compare this research output to 141 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.