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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A dynamic neural network model for predicting risk of Zika in real time
|
|---|---|
| Published in |
BMC Medicine, September 2019
|
| DOI | 10.1186/s12916-019-1389-3 |
| Pubmed ID | |
| Authors |
Mahmood Akhtar, Moritz U. G. Kraemer, Lauren M. Gardner |
X Demographics
The data shown below were collected from the profiles of 19 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 | 26% |
| Italy | 1 | 5% |
| France | 1 | 5% |
| Chile | 1 | 5% |
| Sweden | 1 | 5% |
| Switzerland | 1 | 5% |
| Germany | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 7 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 74% |
| Scientists | 4 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 183 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 12% |
| Researcher | 20 | 11% |
| Student > Ph. D. Student | 17 | 9% |
| Student > Bachelor | 15 | 8% |
| Student > Doctoral Student | 11 | 6% |
| Other | 31 | 17% |
| Unknown | 67 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 10% |
| Medicine and Dentistry | 18 | 10% |
| Computer Science | 15 | 8% |
| Nursing and Health Professions | 8 | 4% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 41 | 22% |
| Unknown | 77 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 20 October 2023.
All research outputs
#783,000
of 25,734,859 outputs
Outputs from BMC Medicine
#547
of 4,080 outputs
Outputs of similar age
#16,279
of 351,276 outputs
Outputs of similar age from BMC Medicine
#11
of 44 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,080 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. This one has done well, scoring higher than 86% 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 351,276 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 95% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.