The data shown below were collected from the profiles of 1,176 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Title |
Modeling the Onset of Symptoms of COVID-19
|
---|---|
Published in |
Frontiers in Public Health, August 2020
|
DOI | 10.3389/fpubh.2020.00473 |
Pubmed ID | |
Authors |
Joseph R. Larsen, Margaret R. Martin, John D. Martin, Peter Kuhn, James B. Hicks |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 125 | 11% |
Japan | 102 | 9% |
Chile | 63 | 5% |
Germany | 48 | 4% |
United States | 44 | 4% |
Venezuela, Bolivarian Republic of | 22 | 2% |
Mexico | 9 | <1% |
Colombia | 7 | <1% |
France | 7 | <1% |
Other | 68 | 6% |
Unknown | 681 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1120 | 95% |
Scientists | 29 | 2% |
Practitioners (doctors, other healthcare professionals) | 20 | 2% |
Science communicators (journalists, bloggers, editors) | 6 | <1% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 416 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 416 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 56 | 13% |
Student > Master | 53 | 13% |
Researcher | 34 | 8% |
Student > Ph. D. Student | 24 | 6% |
Other | 19 | 5% |
Other | 55 | 13% |
Unknown | 175 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 67 | 16% |
Biochemistry, Genetics and Molecular Biology | 31 | 7% |
Nursing and Health Professions | 22 | 5% |
Immunology and Microbiology | 15 | 4% |
Computer Science | 14 | 3% |
Other | 76 | 18% |
Unknown | 191 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2151. 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 28 August 2024.
All research outputs
#4,337
of 26,741,834 outputs
Outputs from Frontiers in Public Health
#4
of 15,113 outputs
Outputs of similar age
#239
of 430,302 outputs
Outputs of similar age from Frontiers in Public Health
#1
of 278 outputs
Altmetric has tracked 26,741,834 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 15,113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. 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 430,302 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 278 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 99% of its contemporaries.