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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study
|
|---|---|
| Published in |
BMC Public Health, April 2020
|
| DOI | 10.1186/s12889-020-8455-9 |
| Pubmed ID | |
| Authors |
Paul J. Birrell, Xu-Sheng Zhang, Alice Corbella, Edwin van Leeuwen, Nikolaos Panagiotopoulos, Katja Hoschler, Alex J. Elliot, Maryia McGee, Simon de Lusignan, Anne M. Presanis, Marc Baguelin, Maria Zambon, André Charlett, Richard G. Pebody, Daniela De Angelis |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 12% |
| Medicine and Dentistry | 4 | 12% |
| Business, Management and Accounting | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 15 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 May 2020.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Public Health
#14,502
of 15,466 outputs
Outputs of similar age
#323,343
of 377,448 outputs
Outputs of similar age from BMC Public Health
#337
of 360 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 377,448 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 360 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.