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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using prediction polling to harness collective intelligence for disease forecasting
|
|---|---|
| Published in |
BMC Public Health, November 2021
|
| DOI | 10.1186/s12889-021-12083-y |
| Pubmed ID | |
| Authors |
Tara Kirk Sell, Kelsey Lane Warmbrod, Crystal Watson, Marc Trotochaud, Elena Martin, Sanjana J. Ravi, Maurice Balick, Emile Servan-Schreiber |
X Demographics
The data shown below were collected from the profiles of 17 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 | 5 | 29% |
| France | 2 | 12% |
| Spain | 2 | 12% |
| United Kingdom | 1 | 6% |
| Morocco | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 4 | 24% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 15% |
| Professor > Associate Professor | 1 | 8% |
| Unspecified | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 15% |
| Computer Science | 1 | 8% |
| Psychology | 1 | 8% |
| Social Sciences | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 7 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 02 June 2022.
All research outputs
#2,430,178
of 25,243,120 outputs
Outputs from BMC Public Health
#2,839
of 16,894 outputs
Outputs of similar age
#56,546
of 517,045 outputs
Outputs of similar age from BMC Public Health
#52
of 368 outputs
Altmetric has tracked 25,243,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,894 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 83% 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 517,045 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 89% of its contemporaries.
We're also able to compare this research output to 368 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.