The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses
|
|---|---|
| Published in |
Transboundary & Emerging Diseases, August 2019
|
| DOI | 10.1111/tbed.13318 |
| Pubmed ID | |
| Authors |
Daniel P Walsh, Ting Fung Ma, Hon S Ip, Jun Zhu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 14% |
| Researcher | 7 | 12% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Student > Ph. D. Student | 2 | 3% |
| Other | 9 | 16% |
| Unknown | 23 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 10% |
| Medicine and Dentistry | 5 | 9% |
| Veterinary Science and Veterinary Medicine | 4 | 7% |
| Mathematics | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 10 | 17% |
| Unknown | 28 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 17 June 2021.
All research outputs
#4,412,456
of 26,163,973 outputs
Outputs from Transboundary & Emerging Diseases
#294
of 2,168 outputs
Outputs of similar age
#78,754
of 355,117 outputs
Outputs of similar age from Transboundary & Emerging Diseases
#6
of 56 outputs
Altmetric has tracked 26,163,973 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,168 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. 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 355,117 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 77% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.