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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The incidence of tuberculosis among hiv-positive individuals with high CD4 counts: implications for policy
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2016
|
| DOI | 10.1186/s12879-016-1598-8 |
| Pubmed ID | |
| Authors |
Tendesayi Kufa, Violet Chihota, Victor Mngomezulu, Salome Charalambous, Suzanne Verver, Gavin Churchyard, Martien Borgdorff |
| Abstract |
Intensified case finding (ICF) and earlier antiretroviral therapy (ART) initiation are strategies to reduce burden of HIV-associated tuberculosis (TB). We describe incidence of and associated factors for TB among HIV-positive individuals with CD4 counts > 350 cells/μl in South Africa. Prospective cohort study of individuals recruited for a TB vaccine trial. Eligible individuals without prevalent TB were followed up at 6 and 12 months after enrolment. Cox proportional hazards regression was used to determine factors associated with risk of incident TB. Six hundred thirty-four individuals were included in the analysis [80.9 % female, 57.9 % on ART, median CD4 count 562 cells/μl (IQR 466-694 cells/μl)]. TB incidence was 2.7 per 100 person-years (pyrs) (95 % CI 1.6-4.4 per 100 pyrs) and did not differ significantly between those on ART and those not on ART [HR 0.65 (95 % CI 0.24-1.81)]. Low body mass index (BMI <18.5 kg/m(2)) was associated with incident TB [HR 3.87 (95 % CI 1.09-13.73)]. Half of the cases occurred in the first 6 months of follow up and may have been prevalent or incubating cases at enrolment. TB incidence was high and associated with low BMI. Intensified case finding for TB should be strengthened for all HIV positive individuals regardless of their CD4 count or ART status. |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 33% |
| Mexico | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 10 | 16% |
| Unknown | 19 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 20% |
| Nursing and Health Professions | 11 | 17% |
| Agricultural and Biological Sciences | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 24 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 June 2016.
All research outputs
#14,855,186
of 22,877,793 outputs
Outputs from BMC Infectious Diseases
#4,092
of 7,691 outputs
Outputs of similar age
#206,142
of 345,199 outputs
Outputs of similar age from BMC Infectious Diseases
#85
of 169 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,691 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 41st percentile – i.e., 41% 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 345,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.