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Mendeley readers
Attention Score in Context
| Title |
Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model
|
|---|---|
| Published in |
Journal of Translational Medicine, April 2022
|
| DOI | 10.1186/s12967-022-03371-1 |
| Pubmed ID | |
| Authors |
Hongjing Ai, Rongfang Nie, Xiaosheng Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 13% |
| Student > Postgraduate | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 9% |
| Social Sciences | 2 | 9% |
| Computer Science | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 15 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 31 October 2023.
All research outputs
#2,241,950
of 24,712,008 outputs
Outputs from Journal of Translational Medicine
#379
of 4,461 outputs
Outputs of similar age
#50,905
of 434,924 outputs
Outputs of similar age from Journal of Translational Medicine
#6
of 105 outputs
Altmetric has tracked 24,712,008 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 91% 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 434,924 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 88% of its contemporaries.
We're also able to compare this research output to 105 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 95% of its contemporaries.