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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Viral Phylodynamics
|
|---|---|
| Published in |
PLoS Computational Biology, March 2013
|
| DOI | 10.1371/journal.pcbi.1002947 |
| Pubmed ID | |
| Authors |
Erik M. Volz, Katia Koelle, Trevor Bedford |
X Demographics
The data shown below were collected from the profiles of 297 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 | 19 | 6% |
| Japan | 18 | 6% |
| United Kingdom | 7 | 2% |
| France | 5 | 2% |
| Korea, Republic of | 5 | 2% |
| Canada | 4 | 1% |
| Korea, Democratic People's Republic of | 3 | 1% |
| Germany | 3 | 1% |
| India | 2 | <1% |
| Other | 21 | 7% |
| Unknown | 210 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 263 | 89% |
| Scientists | 23 | 8% |
| Practitioners (doctors, other healthcare professionals) | 8 | 3% |
| Science communicators (journalists, bloggers, editors) | 3 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 607 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | <1% |
| United Kingdom | 5 | <1% |
| Brazil | 4 | <1% |
| Canada | 2 | <1% |
| Uruguay | 1 | <1% |
| Australia | 1 | <1% |
| Vietnam | 1 | <1% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 578 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 145 | 24% |
| Researcher | 130 | 21% |
| Student > Master | 71 | 12% |
| Student > Bachelor | 67 | 11% |
| Student > Doctoral Student | 30 | 5% |
| Other | 91 | 15% |
| Unknown | 73 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 215 | 35% |
| Biochemistry, Genetics and Molecular Biology | 90 | 15% |
| Medicine and Dentistry | 51 | 8% |
| Immunology and Microbiology | 36 | 6% |
| Computer Science | 25 | 4% |
| Other | 88 | 14% |
| Unknown | 102 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 229. 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 06 April 2023.
All research outputs
#171,971
of 25,934,224 outputs
Outputs from PLoS Computational Biology
#114
of 9,078 outputs
Outputs of similar age
#1,012
of 211,901 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 153 outputs
Altmetric has tracked 25,934,224 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 98% 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 211,901 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 99% of its contemporaries.
We're also able to compare this research output to 153 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 99% of its contemporaries.