| Title |
Forecasting influenza activity using machine-learned mobility map
|
|---|---|
| Published in |
Nature Communications, February 2021
|
| DOI | 10.1038/s41467-021-21018-5 |
| Pubmed ID | |
| Authors |
Srinivasan Venkatramanan, Adam Sadilek, Arindam Fadikar, Christopher L. Barrett, Matthew Biggerstaff, Jiangzhuo Chen, Xerxes Dotiwalla, Paul Eastham, Bryant Gipson, Dave Higdon, Onur Kucuktunc, Allison Lieber, Bryan L. Lewis, Zane Reynolds, Anil K. Vullikanti, Lijing Wang, Madhav Marathe |
X Demographics
The data shown below were collected from the profiles of 71 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 | 9 | 13% |
| Japan | 6 | 8% |
| Canada | 4 | 6% |
| United Kingdom | 4 | 6% |
| India | 2 | 3% |
| Italy | 2 | 3% |
| Switzerland | 2 | 3% |
| United Arab Emirates | 1 | 1% |
| Austria | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 35 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 75% |
| Scientists | 10 | 14% |
| Science communicators (journalists, bloggers, editors) | 4 | 6% |
| Practitioners (doctors, other healthcare professionals) | 4 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 8 | 11% |
| Researcher | 6 | 9% |
| Student > Master | 5 | 7% |
| Professor > Associate Professor | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 30 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 9% |
| Computer Science | 5 | 7% |
| Medicine and Dentistry | 4 | 6% |
| Mathematics | 4 | 6% |
| Environmental Science | 3 | 4% |
| Other | 14 | 20% |
| Unknown | 34 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 123. 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 26 December 2022.
All research outputs
#347,427
of 25,768,270 outputs
Outputs from Nature Communications
#5,373
of 58,374 outputs
Outputs of similar age
#10,776
of 548,451 outputs
Outputs of similar age from Nature Communications
#227
of 1,870 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,374 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done particularly well, scoring higher than 90% 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 548,451 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 98% of its contemporaries.
We're also able to compare this research output to 1,870 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.