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Mendeley readers
Attention Score in Context
| Title |
Tracing the HIV-1 subtype B mobility in Europe: a phylogeographic approach
|
|---|---|
| Published in |
Retrovirology, May 2009
|
| DOI | 10.1186/1742-4690-6-49 |
| Pubmed ID | |
| Authors |
Dimitrios Paraskevis, Oliver Pybus, Gkikas Magiorkinis, Angelos Hatzakis, Annemarie MJ Wensing, David A van de Vijver, Jan Albert, Guiseppe Angarano, Birgitta Åsjö, Claudia Balotta, Enzo Boeri, Ricardo Camacho, Marie-Laure Chaix, Suzie Coughlan, Dominique Costagliola, Andrea De Luca, Carmen de Mendoza, Inge Derdelinckx, Zehava Grossman, Osama Hamouda, IM Hoepelman, Andrzej Horban, Klaus Korn, Claudia Kücherer, Thomas Leitner, Clive Loveday, Eilidh MacRae, I Maljkovic-Berry, Laurence Meyer, Claus Nielsen, Eline LM Op de Coul, Vidar Ormaasen, Luc Perrin, Elisabeth Puchhammer-Stöckl, Lidia Ruiz, Mika O Salminen, Jean-Claude Schmit, Rob Schuurman, Vincent Soriano, J Stanczak, Maja Stanojevic, Daniel Struck, Kristel Van Laethem, M Violin, Sabine Yerly, Maurizio Zazzi, Charles A Boucher, Anne-Mieke Vandamme, the SPREAD Programme |
| Abstract |
The prevalence and the origin of HIV-1 subtype B, the most prevalent circulating clade among the long-term residents in Europe, have been studied extensively. However the spatial diffusion of the epidemic from the perspective of the virus has not previously been traced. |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 2% |
| United States | 2 | 1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Argentina | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Unknown | 140 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 19% |
| Student > Ph. D. Student | 22 | 15% |
| Student > Master | 18 | 12% |
| Other | 12 | 8% |
| Student > Bachelor | 11 | 7% |
| Other | 40 | 26% |
| Unknown | 19 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 30% |
| Medicine and Dentistry | 37 | 25% |
| Biochemistry, Genetics and Molecular Biology | 8 | 5% |
| Computer Science | 7 | 5% |
| Immunology and Microbiology | 6 | 4% |
| Other | 19 | 13% |
| Unknown | 28 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 December 2021.
All research outputs
#17,666,399
of 22,679,690 outputs
Outputs from Retrovirology
#913
of 1,102 outputs
Outputs of similar age
#88,430
of 96,890 outputs
Outputs of similar age from Retrovirology
#8
of 8 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 96,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.