| Title |
Highly Pathogenic Avian Influenza A(H5N8) Virus in Gray Seals, Baltic Sea - Volume 25, Number 12—December 2019 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, December 2019
|
| DOI | 10.3201/eid2512.181472 |
| Pubmed ID | |
| Authors |
Dai-Lun Shin, Ursula Siebert, Jan Lakemeyer, Miguel Grilo, Iwona Pawliczka, Nai-Huei Wu, Peter Valentin-Weigand, Ludwig Haas, Georg Herrler |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Spain | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Student > Bachelor | 3 | 10% |
| Researcher | 3 | 10% |
| Professor | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 11 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 03 February 2023.
All research outputs
#1,494,887
of 24,887,826 outputs
Outputs from Emerging Infectious Diseases
#1,694
of 9,612 outputs
Outputs of similar age
#35,763
of 471,714 outputs
Outputs of similar age from Emerging Infectious Diseases
#21
of 123 outputs
Altmetric has tracked 24,887,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.4. This one has done well, scoring higher than 82% 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 471,714 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 92% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.