| Title |
Human Papillomavirus 16, 18, 31 and 45 viral load, integration and methylation status stratified by cervical disease stage
|
|---|---|
| Published in |
BMC Cancer, May 2014
|
| DOI | 10.1186/1471-2407-14-384 |
| Pubmed ID | |
| Authors |
Luigi Marongiu, Anna Godi, John V Parry, Simon Beddows |
| Abstract |
Persistent infection with oncogenic Human Papillomavirus (HPV) is associated with the development of cervical cancer with each genotype differing in their relative contribution to the prevalence of cervical disease. HPV DNA testing offers improved sensitivity over cytology testing alone but is accompanied by a generally low specificity. Potential molecular markers of cervical disease include type-specific viral load (VL), integration of HPV DNA into the host genome and methylation of the HPV genome. The aim of this study was to evaluate the relationship between HPV type-specific viral load, integration and methylation status and cervical disease stage in samples harboring HPV16, HPV18, HPV31 or HPV45. |
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 % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| France | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 17% |
| Researcher | 9 | 15% |
| Student > Bachelor | 8 | 13% |
| Student > Master | 8 | 13% |
| Student > Doctoral Student | 4 | 7% |
| Other | 8 | 13% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 23% |
| Medicine and Dentistry | 13 | 22% |
| Agricultural and Biological Sciences | 9 | 15% |
| Nursing and Health Professions | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 June 2020.
All research outputs
#6,405,709
of 22,756,196 outputs
Outputs from BMC Cancer
#1,632
of 8,276 outputs
Outputs of similar age
#61,087
of 226,629 outputs
Outputs of similar age from BMC Cancer
#28
of 132 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,276 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 226,629 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 71% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.