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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating the generation interval for COVID-19 based on symptom onset data
|
|---|---|
| Published in |
medRxiv, March 2020
|
| DOI | 10.1101/2020.03.05.20031815 |
| Authors |
Ganyani Tapiwa, Kremer Cécile, Chen Dongxuan, Torneri Andrea, Faes Christel, Wallinga Jacco, Hens Niel |
X Demographics
The data shown below were collected from the profiles of 2,151 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 | 296 | 14% |
| Spain | 130 | 6% |
| United Kingdom | 104 | 5% |
| Netherlands | 104 | 5% |
| Canada | 39 | 2% |
| Finland | 37 | 2% |
| Australia | 31 | 1% |
| Sweden | 24 | 1% |
| Ecuador | 23 | 1% |
| Other | 296 | 14% |
| Unknown | 1067 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1784 | 83% |
| Scientists | 208 | 10% |
| Practitioners (doctors, other healthcare professionals) | 90 | 4% |
| Science communicators (journalists, bloggers, editors) | 65 | 3% |
| Unknown | 4 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 257 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 16% |
| Student > Ph. D. Student | 24 | 9% |
| Student > Master | 20 | 8% |
| Other | 19 | 7% |
| Student > Bachelor | 17 | 7% |
| Other | 46 | 18% |
| Unknown | 89 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 54 | 21% |
| Biochemistry, Genetics and Molecular Biology | 12 | 5% |
| Agricultural and Biological Sciences | 11 | 4% |
| Social Sciences | 10 | 4% |
| Engineering | 8 | 3% |
| Other | 61 | 24% |
| Unknown | 101 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2318. 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 02 August 2023.
All research outputs
#3,590
of 25,808,886 outputs
Outputs from medRxiv
#33
of 868 outputs
Outputs of similar age
#224
of 389,230 outputs
Outputs of similar age from medRxiv
#15
of 108 outputs
Altmetric has tracked 25,808,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 333.4. This one has done particularly well, scoring higher than 96% 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 389,230 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 99% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.