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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transitional Probability-Based Model for HPV Clearance in HIV-1-Positive Adolescent Females
|
|---|---|
| Published in |
PLOS ONE, January 2012
|
| DOI | 10.1371/journal.pone.0030736 |
| Pubmed ID | |
| Authors |
Julia Kravchenko, Igor Akushevich, Staci L. Sudenga, Craig M. Wilson, Emily B. Levitan, Sadeep Shrestha |
| Abstract |
HIV-1-positive patients clear the human papillomavirus (HPV) infection less frequently than HIV-1-negative. Datasets for estimating HPV clearance probability often have irregular measurements of HPV status and risk factors. A new transitional probability-based model for estimation of probability of HPV clearance was developed to fully incorporate information on HIV-1-related clinical data, such as CD4 counts, HIV-1 viral load (VL), highly active antiretroviral therapy (HAART), and risk factors (measured quarterly), and HPV infection status (measured at 6-month intervals). |
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 % |
|---|---|---|
| United States | 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 6% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 23% |
| Researcher | 6 | 19% |
| Student > Ph. D. Student | 5 | 16% |
| Student > Postgraduate | 3 | 10% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 35% |
| Agricultural and Biological Sciences | 3 | 10% |
| Mathematics | 2 | 6% |
| Chemical Engineering | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 6 | 19% |
| Unknown | 7 | 23% |
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 28 February 2012.
All research outputs
#15,691,910
of 23,317,888 outputs
Outputs from PLOS ONE
#135,364
of 199,314 outputs
Outputs of similar age
#165,808
of 248,760 outputs
Outputs of similar age from PLOS ONE
#1,982
of 3,339 outputs
Altmetric has tracked 23,317,888 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 199,314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 23rd percentile – i.e., 23% 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 248,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,339 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.