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Mendeley readers
Attention Score in Context
| Title |
GeneXpert HIV-1 quant assay, a new tool for scale up of viral load monitoring in the success of ART programme in India
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2017
|
| DOI | 10.1186/s12879-017-2604-5 |
| Pubmed ID | |
| Authors |
Smita Kulkarni, Sushama Jadhav, Priyanka Khopkar, Suvarna Sane, Rajkumar Londhe, Vaishali Chimanpure, Veronica Dhilpe, Manisha Ghate, Rajendra Yelagate, Narayan Panchal, Girish Rahane, Dilip Kadam, Nitin Gaikwad, Bharat Rewari, Raman Gangakhedkar |
| Abstract |
Recent WHO guidelines identify virologic monitoring for diagnosing and confirming ART failure. In view of this, validation and scale up of point of care viral load technologies is essential in resource limited settings. A systematic validation of the GeneXpert® HIV-1 Quant assay (a point-of-care technology) in view of scaling up HIV-1 viral load in India to monitor the success of national ART programme was carried out. Two hundred nineteen plasma specimens falling in nine viral load ranges (<40 to >5 L copies/ml) were tested by the Abbott m2000rt Real Time and GeneXpert HIV-1 Quant assays. Additionally, 20 seronegative; 16 stored specimens and 10 spiked controls were also tested. Statistical analysis was done using Stata/IC and sensitivity, specificity, PPV, NPV and %misclassification rates were calculated as per DHSs/AISs, WHO, NACO cut-offs for virological failure. The GeneXpert assay compared well with the Abbott assay with a higher sensitivity (97%), specificity (97-100%) and concordance (91.32%). The correlation between two assays (r = 0.886) was statistically significant (p < 0.01), the linear regression showed a moderate fit (R(2) = 0.784) and differences were within limits of agreement. Reproducibility showed an average variation of 4.15 and 3.52% while Lower limit of detection (LLD) and Upper limit of detection (ULD) were 42 and 1,740,000 copies/ml respectively. The misclassification rates for three viral load cut offs were not statistically different (p = 0.736). All seronegative samples were negative and viral loads of the stored samples showed a good fit (R(2) = 0.896 to 0.982). The viral load results of GeneXpert HIV-1 Quant assay compared well with Abbott HIV-1 m2000 Real Time PCR; suggesting its use as a Point of care assay for viral load estimation in resource limited settings. Its ease of performance and rapidity will aid in timely diagnosis of ART failures, integrated HIV-TB management and will facilitate the UNAIDS 90-90-90 target. |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 20% |
| Researcher | 16 | 19% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Bachelor | 6 | 7% |
| Other | 5 | 6% |
| Other | 8 | 10% |
| Unknown | 20 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 25% |
| Nursing and Health Professions | 9 | 11% |
| Immunology and Microbiology | 6 | 7% |
| Agricultural and Biological Sciences | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 29 | 35% |
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 11 October 2017.
All research outputs
#18,562,247
of 22,990,068 outputs
Outputs from BMC Infectious Diseases
#5,648
of 7,717 outputs
Outputs of similar age
#240,894
of 314,579 outputs
Outputs of similar age from BMC Infectious Diseases
#130
of 177 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,717 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 15th percentile – i.e., 15% 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 314,579 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.