| Title |
Early transmission patterns of coronavirus disease 2019 (COVID-19) in travellers from Wuhan to Thailand, January 2020
|
|---|---|
| Published in |
Eurosurveillance, February 2020
|
| DOI | 10.2807/1560-7917.es.2020.25.8.2000097 |
| Pubmed ID | |
| Authors |
Pilailuk Okada, Rome Buathong, Siripaporn Phuygun, Thanutsapa Thanadachakul, Sittiporn Parnmen, Warawan Wongboot, Sunthareeya Waicharoen, Supaporn Wacharapluesadee, Sumonmal Uttayamakul, Apichart Vachiraphan, Malinee Chittaganpitch, Nanthawan Mekha, Noppavan Janejai, Sopon Iamsirithaworn, Raphael TC Lee, Sebastian Maurer-Stroh |
X Demographics
The data shown below were collected from the profiles of 17 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 | 6% |
| Thailand | 1 | 6% |
| Italy | 1 | 6% |
| Sweden | 1 | 6% |
| Japan | 1 | 6% |
| Unknown | 12 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 650 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 650 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 87 | 13% |
| Student > Master | 78 | 12% |
| Student > Ph. D. Student | 69 | 11% |
| Student > Bachelor | 53 | 8% |
| Other | 35 | 5% |
| Other | 135 | 21% |
| Unknown | 193 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 111 | 17% |
| Biochemistry, Genetics and Molecular Biology | 49 | 8% |
| Nursing and Health Professions | 40 | 6% |
| Social Sciences | 29 | 4% |
| Agricultural and Biological Sciences | 27 | 4% |
| Other | 164 | 25% |
| Unknown | 230 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 21 November 2023.
All research outputs
#1,679,102
of 25,755,403 outputs
Outputs from Eurosurveillance
#613
of 3,083 outputs
Outputs of similar age
#39,452
of 385,032 outputs
Outputs of similar age from Eurosurveillance
#42
of 75 outputs
Altmetric has tracked 25,755,403 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.3. This one has done well, scoring higher than 80% 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 385,032 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 89% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.