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X Demographics
Mendeley readers
Attention Score in Context
Title |
Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples
|
---|---|
Published in |
BMC Public Health, December 2019
|
DOI | 10.1186/s12889-019-7966-8 |
Pubmed ID | |
Authors |
Chelsea S. Lutz, Mimi P. Huynh, Monica Schroeder, Sophia Anyatonwu, F. Scott Dahlgren, Gregory Danyluk, Danielle Fernandez, Sharon K. Greene, Nodar Kipshidze, Leann Liu, Osaro Mgbere, Lisa A. McHugh, Jennifer F. Myers, Alan Siniscalchi, Amy D. Sullivan, Nicole West, Michael A. Johansson, Matthew Biggerstaff |
X Demographics
The data shown below were collected from the profiles of 11 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 | 7 | 64% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 143 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 15% |
Student > Ph. D. Student | 18 | 13% |
Researcher | 17 | 12% |
Student > Bachelor | 13 | 9% |
Other | 7 | 5% |
Other | 16 | 11% |
Unknown | 50 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 17% |
Computer Science | 12 | 8% |
Nursing and Health Professions | 10 | 7% |
Agricultural and Biological Sciences | 10 | 7% |
Engineering | 8 | 6% |
Other | 22 | 15% |
Unknown | 57 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 147. 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 01 January 2021.
All research outputs
#240,822
of 23,182,015 outputs
Outputs from BMC Public Health
#203
of 15,135 outputs
Outputs of similar age
#6,157
of 459,268 outputs
Outputs of similar age from BMC Public Health
#6
of 344 outputs
Altmetric has tracked 23,182,015 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 15,135 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 98% 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 459,268 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 344 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 98% of its contemporaries.