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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk Prediction of Three Different Subtypes of Highly Pathogenic Avian Influenza Outbreaks in Poultry Farms: Based on Spatial Characteristics of Infected Premises in South Korea
|
|---|---|
| Published in |
Frontiers in Veterinary Science, May 2022
|
| DOI | 10.3389/fvets.2022.897763 |
| Pubmed ID | |
| Authors |
Dae-sung Yoo, Byung Chul Chun, Kwan Hong, Jeehyun Kim |
X Demographics
The data shown below were collected from the profiles of 10 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 | 1 | 10% |
| Germany | 1 | 10% |
| Mexico | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 21% |
| Unspecified | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 2 | 14% |
| Computer Science | 2 | 14% |
| Mathematics | 1 | 7% |
| Unspecified | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 June 2022.
All research outputs
#6,573,525
of 25,382,440 outputs
Outputs from Frontiers in Veterinary Science
#1,150
of 8,085 outputs
Outputs of similar age
#123,021
of 445,692 outputs
Outputs of similar age from Frontiers in Veterinary Science
#49
of 564 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,085 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 85% 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 445,692 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 564 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 91% of its contemporaries.