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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular epidemiology and phylogenetic analysis of Hepatitis B virus in a group of migrants in Italy
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2015
|
| DOI | 10.1186/s12879-015-0994-9 |
| Pubmed ID | |
| Authors |
Umbertina Villano, Alessandra Lo Presti, Michele Equestre, Eleonora Cella, Giulio Pisani, Marta Giovanetti, Roberto Bruni, Elena Tritarelli, Massimo Amicosante, Alba Grifoni, Carmelo Scarcella, Issa El-Hamad, Maria Chiara Pezzoli, Silvia Angeletti, Anna Rita Ciccaglione, Massimo Ciccozzi |
| Abstract |
Hepatitis B virus infection (HBV) is widespread and it is considered a major health problem worldwide. The global distribution of HBV varies significantly between countries and between regions of the world. Among the many factors contributing to the changing epidemiology of viral hepatitis, the movement of people within and between countries is a potentially important one. In Italy, the number of migrant individuals has been increasing during the past 25 years. HBV genotype D has been found throughout the world, although its highest prevalence is in the Mediterranean area, the Middle East and southern Asia. We describe the molecular epidemiology of HBV in a chronically infected population of migrants (living in Italy), by using the phylogenetic analysis. HBV-DNA was amplified and sequenced from 43 HBV chronically infected patients. Phylogenetic and evolutionary analysis were performed using both maximum Likelihood and Bayesian methods. Of the 43 HBV S gene isolates from migrants, 25 (58.1 %) were classified as D genotype. Maximum Likelihood analysis showed an intermixing between Moldavian and foreigners sequences mostly respect to Italian ones. Italian sequences clustered mostly together in a main clade separately from all others. The estimation of the time of the tree's root gave a mean value of 17 years ago, suggesting the origin of the tree back to 1992 year. The skyline plot showed that the number of infections softly increased until the early 2005s, after which reached a plateau. Comparing phylogenetic data to the migrants date of arrival in Italy, it should be possible that migrants arrived in Italy yet infected from their country of origin. In conclusion, this is the first paper where phylogenetic analysis and genetic evolution has been used to characterize HBV sub genotypes D1 circulation in a selected and homogenous group of migrants coming from a restricted area of Balkans and to approximately define the period of infection besides the migration date. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Master | 5 | 13% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 33% |
| Agricultural and Biological Sciences | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 11 | 28% |
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 27 July 2015.
All research outputs
#15,340,815
of 22,818,766 outputs
Outputs from BMC Infectious Diseases
#4,465
of 7,676 outputs
Outputs of similar age
#153,781
of 263,272 outputs
Outputs of similar age from BMC Infectious Diseases
#97
of 148 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,676 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% 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 263,272 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.