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The HAND Database: a gateway to understanding the role of HIV in HIV-associated neurocognitive disorders

Overview of attention for article published in BMC Medical Genomics, October 2015
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Title
The HAND Database: a gateway to understanding the role of HIV in HIV-associated neurocognitive disorders
Published in
BMC Medical Genomics, October 2015
DOI 10.1186/s12920-015-0143-8
Pubmed ID
Authors

Tess Z Griffin, Weiliang Kang, Yongjie Ma, Ming Zhang

Abstract

Despite an augmented research effort and scale-up of highly active antiretroviral therapy, a high prevalence of HIV-1-associated neurocognitive disorders (HAND) persists in the HIV-infected population. Nearly 50 % of all HIV-1-infected individuals suffer from a neurocognitive disorder due to neural and synaptodendritic damage. Challenges in HAND research, including limited availability of brain tissue from HIV patients, variation in HAND study protocols, and virus genotyping inconsistency and errors, however, have resulted in studies with insufficient power to delineate molecular mechanisms underlying HAND pathogenesis. There exists, therefore, a great need for a reliable and centralized resource specific to HAND research, particularly for epidemiological study and surveillance in resource-limited countries where severe forms of HAND persist. To address the aforementioned imperative need, here we present the HAND Database, a resource containing well-curated and up-to-date HAND virus information and associated clinical and epidemiological data. This database provides information on 5,783 non-redundant HIV-1 sequences from global HAND research published to date, representing a total of 163 unique individuals that have been assessed for HAND. A user-friendly interface allows for flexible searching, filtering, browsing, and downloading of data. The most comprehensive database of its kind, the HAND Database not only bolsters current HAND research by increasing sampling power and reducing study biases caused by protocol variation and genotyping inconsistency, it allows for comparison between HAND studies across different dimensions. Development of the HAND Database has also revealed significant knowledge gaps in HIV-driven neuropathology. These gaps include inadequate sequencing of viral genes beyond env, lack of HAND viral data from HIV epidemiologically important regions including Asian and Sub-Saharan African countries, and biased sampling toward the male gender, all factors that impede efforts toward providing an improved quality of life to HIV-infected individuals, and toward elimination of viruses in the brain. Our aim with the HAND database is to provide researchers in both the HIV and neuroscience fields a comprehensive and rigorous data source toward better understanding virus compartmentalization and to help in design of improved strategies against HAND viruses. We also expect this resource, which will be updated on a regular basis, to be useful as a reliable reference for further HAND epidemiology studies. The HAND Database is freely available and accessible online at http://www.handdatabase.org .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tanzania, United Republic of 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Student > Bachelor 9 16%
Researcher 7 12%
Other 4 7%
Student > Postgraduate 3 5%
Other 9 16%
Unknown 17 29%
Readers by discipline Count As %
Medicine and Dentistry 14 24%
Psychology 8 14%
Nursing and Health Professions 5 9%
Agricultural and Biological Sciences 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Other 6 10%
Unknown 17 29%
Attention Score in Context

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 30 October 2015.
All research outputs
#15,349,419
of 22,831,537 outputs
Outputs from BMC Medical Genomics
#676
of 1,223 outputs
Outputs of similar age
#166,888
of 284,638 outputs
Outputs of similar age from BMC Medical Genomics
#17
of 24 outputs
Altmetric has tracked 22,831,537 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 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 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.