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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using influenza surveillance networks to estimate state-specific case detection rates and forecast SARS-CoV-2 spread in the United States
|
|---|---|
| Published in |
medRxiv, April 2020
|
| DOI | 10.1101/2020.04.01.20050542 |
| Authors |
Justin D. Silverman, Nathaniel Hupert, Alex D. Washburne |
X Demographics
The data shown below were collected from the profiles of 877 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 | 163 | 19% |
| Mexico | 127 | 14% |
| United Kingdom | 24 | 3% |
| Canada | 15 | 2% |
| Spain | 9 | 1% |
| Italy | 7 | <1% |
| France | 7 | <1% |
| Japan | 7 | <1% |
| Venezuela, Bolivarian Republic of | 5 | <1% |
| Other | 65 | 7% |
| Unknown | 448 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 786 | 90% |
| Scientists | 45 | 5% |
| Practitioners (doctors, other healthcare professionals) | 32 | 4% |
| Science communicators (journalists, bloggers, editors) | 14 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 16% |
| Other | 11 | 16% |
| Researcher | 10 | 15% |
| Professor > Associate Professor | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 24% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Computer Science | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 13 | 19% |
| Unknown | 27 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 886. 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 29 February 2024.
All research outputs
#20,229
of 25,775,807 outputs
Outputs from medRxiv
#29
of 739 outputs
Outputs of similar age
#964
of 399,941 outputs
Outputs of similar age from medRxiv
#8
of 57 outputs
Altmetric has tracked 25,775,807 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 739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 198.8. 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 399,941 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 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.