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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic surveillance of avian-origin influenza A viruses causing human disease
|
|---|---|
| Published in |
Genome Medicine, June 2018
|
| DOI | 10.1186/s13073-018-0560-3 |
| Pubmed ID | |
| Authors |
Tommy T. Lam, Oliver G. Pybus |
| Abstract |
Avian influenza A viruses (AIVs) pose a threat to global health because of their sporadic zoonotic transmission and potential to cause pandemics. Genomic surveillance of AIVs has become a powerful, cost-effective approach for studying virus transmission, evolution, and dissemination, and has the potential to inform outbreak control efforts and policies. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 5 | 15% |
| Student > Bachelor | 4 | 12% |
| Student > Doctoral Student | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Agricultural and Biological Sciences | 5 | 15% |
| Veterinary Science and Veterinary Medicine | 3 | 9% |
| Social Sciences | 2 | 6% |
| Environmental Science | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 July 2018.
All research outputs
#14,158,386
of 23,975,876 outputs
Outputs from Genome Medicine
#1,269
of 1,479 outputs
Outputs of similar age
#173,711
of 332,219 outputs
Outputs of similar age from Genome Medicine
#27
of 27 outputs
Altmetric has tracked 23,975,876 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,479 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.3. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 332,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.