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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effects of media reporting on mitigating spread of COVID-19 in the early phase of the outbreak.
|
|---|---|
| Published in |
Mathematical Biosciences and Engineering, January 2020
|
| DOI | 10.3934/mbe.2020147 |
| Pubmed ID | |
| Authors |
Wei Ke Zhou, Ai Li Wang, Fan Xia, Yan Ni Xiao, San Yi Tang |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Ireland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 387 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 387 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 11% |
| Student > Master | 41 | 11% |
| Student > Bachelor | 33 | 9% |
| Student > Ph. D. Student | 32 | 8% |
| Other | 24 | 6% |
| Other | 89 | 23% |
| Unknown | 126 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 13% |
| Nursing and Health Professions | 28 | 7% |
| Social Sciences | 27 | 7% |
| Agricultural and Biological Sciences | 15 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 3% |
| Other | 106 | 27% |
| Unknown | 148 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 16 November 2021.
All research outputs
#943,106
of 25,387,668 outputs
Outputs from Mathematical Biosciences and Engineering
#4
of 700 outputs
Outputs of similar age
#23,026
of 473,401 outputs
Outputs of similar age from Mathematical Biosciences and Engineering
#2
of 52 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 700 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 99% 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 473,401 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 52 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 96% of its contemporaries.