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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel sub-epidemic modeling framework for short-term forecasting epidemic waves
|
|---|---|
| Published in |
BMC Medicine, August 2019
|
| DOI | 10.1186/s12916-019-1406-6 |
| Pubmed ID | |
| Authors |
Gerardo Chowell, Amna Tariq, James M. Hyman |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 17% |
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 33% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 115 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 15% |
| Researcher | 16 | 14% |
| Student > Master | 15 | 13% |
| Student > Bachelor | 12 | 10% |
| Professor | 7 | 6% |
| Other | 24 | 21% |
| Unknown | 24 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 9% |
| Engineering | 10 | 9% |
| Computer Science | 10 | 9% |
| Nursing and Health Professions | 7 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 37 | 32% |
| Unknown | 35 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 19 December 2021.
All research outputs
#2,788,311
of 22,721,584 outputs
Outputs from BMC Medicine
#1,683
of 3,410 outputs
Outputs of similar age
#59,589
of 341,015 outputs
Outputs of similar age from BMC Medicine
#31
of 57 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one has gotten more attention than average, scoring higher than 50% 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 341,015 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 82% 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 is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.