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 |
Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection
|
---|---|
Published in |
PLoS Computational Biology, June 2012
|
DOI | 10.1371/journal.pcbi.1002552 |
Pubmed ID | |
Authors |
Erik M. Volz, James S. Koopman, Melissa J. Ward, Andrew Leigh Brown, Simon D. W. Frost |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 4% |
United States | 4 | 4% |
Portugal | 2 | 2% |
Canada | 1 | <1% |
Italy | 1 | <1% |
Unknown | 96 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 21% |
Student > Ph. D. Student | 22 | 20% |
Student > Doctoral Student | 8 | 7% |
Professor | 7 | 6% |
Student > Postgraduate | 7 | 6% |
Other | 27 | 25% |
Unknown | 14 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 28 | 26% |
Medicine and Dentistry | 22 | 20% |
Biochemistry, Genetics and Molecular Biology | 7 | 6% |
Computer Science | 7 | 6% |
Mathematics | 4 | 4% |
Other | 17 | 16% |
Unknown | 23 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 December 2017.
All research outputs
#7,060,650
of 25,411,814 outputs
Outputs from PLoS Computational Biology
#4,782
of 8,976 outputs
Outputs of similar age
#47,516
of 177,653 outputs
Outputs of similar age from PLoS Computational Biology
#54
of 108 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 46th percentile – i.e., 46% 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 177,653 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 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.