↓ Skip to main content

Bagging for Gaussian process regression

Overview of attention for article published in Neurocomputing, March 2009
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

patent
4 patents

Readers on

mendeley
102 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Bagging for Gaussian process regression
Published in
Neurocomputing, March 2009
DOI 10.1016/j.neucom.2008.09.002
Pubmed ID
Authors

Tao Chen, Jianghong Ren

Abstract

It is unclear whether coinfection with hepatitis C virus (HCV) increases mortality in patients with human immunodeficiency virus (HIV) infection during the era of highly active antiretroviral therapy (HAART). With use of a meta-analysis, we estimated the effect of HCV infection on HIV disease progression and overall mortality in the pre-HAART and HAART eras. The PubMed and EMBASE databases were searched for studies published through 30 April 2008. Additional studies were identified from cited references. Studies reporting disease progression or mortality among HCV-HIV coinfected patients were selected. Cross-sectional studies, studies without HCV-negative control subjects, and studies involving children and/or patients who had undergone liver transplantation were excluded. Two authors reviewed articles and extracted data on the demographic characteristics of study populations and risk estimates. Meta-regression was used to explore heterogeneity. Ten studies from the pre-HAART era and 27 studies from the HAART era were selected. In the pre-HAART era, the risk ratio for overall mortality among patients with HCV-HIV coinfection, compared with that among patients with HIV infection alone, was 0.68 (95% confidence interval [CI], 0.53-0.87). In the HAART era, the risk ratio was 1.12 (95% CI, 0.82-1.51) for AIDS-defining events and 1.35 (95% CI, 1.11-1.63) for overall mortality among coinfected patients, compared with that among patients with HIV monoinfection. HCV coinfection did not increase mortality among patients with HIV infection before the introduction of HAART. In contrast, in the HAART era, HCV coinfection, compared with HIV infection alone, increases the risk of mortality, but not the risk of AIDS-defining events. Future studies should determine whether successful treatment of HCV infection could reduce this excess risk of mortality in coinfected patients.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 4%
Slovenia 1 <1%
Germany 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 94 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 34 33%
Student > Master 9 9%
Researcher 8 8%
Student > Doctoral Student 7 7%
Professor > Associate Professor 7 7%
Other 19 19%
Unknown 18 18%
Readers by discipline
Readers by discipline Count As %
Computer Science 25 25%
Engineering 21 21%
Mathematics 7 7%
Chemical Engineering 5 5%
Physics and Astronomy 5 5%
Other 14 14%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 September 2014.
All research outputs
#6,533,249
of 30,096,795 outputs
Outputs from Neurocomputing
#287
of 3,591 outputs
Outputs of similar age
#25,423
of 125,031 outputs
Outputs of similar age from Neurocomputing
#3
of 14 outputs
Altmetric has tracked 30,096,795 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,591 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 86% 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 125,031 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 70% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.