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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of CpG methylation sites and CGI among human papillomavirus DNA genomes
|
|---|---|
| Published in |
BMC Genomics, November 2011
|
| DOI | 10.1186/1471-2164-12-580 |
| Pubmed ID | |
| Authors |
Silvia C Galván, Martha Martínez-Salazar, Víctor M Galván, Rocío Méndez, Gibran T Díaz-Contreras, Moisés Alvarado-Hermida, Rogelio Alcántara-Silva, Alejandro García-Carrancá |
| Abstract |
The Human Papillomavirus (HPV) genome is divided into early and late coding sequences, including 8 open reading frames (ORFs) and a regulatory region (LCR). Viral gene expression may be regulated through epigenetic mechanisms, including cytosine methylation at CpG dinucleotides. We have analyzed the distribution of CpG sites and CpG islands/clusters (CGI) among 92 different HPV genomes grouped in function of their preferential tropism: cutaneous or mucosal. We calculated the proportion of CpG sites (PCS) for each ORF and calculated the expected CpG values for each viral type. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 % |
|---|---|---|
| Japan | 1 | 3% |
| Colombia | 1 | 3% |
| Unknown | 31 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Student > Master | 5 | 15% |
| Researcher | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 45% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Medicine and Dentistry | 3 | 9% |
| Immunology and Microbiology | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 6 | 18% |
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 03 August 2012.
All research outputs
#20,163,398
of 22,673,450 outputs
Outputs from BMC Genomics
#9,240
of 10,614 outputs
Outputs of similar age
#218,288
of 239,984 outputs
Outputs of similar age from BMC Genomics
#276
of 303 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 239,984 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.