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Dove Medical Press

H3Africa: current perspectives

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
7 news outlets
blogs
3 blogs
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
167 Mendeley
citeulike
2 CiteULike
Title
H3Africa: current perspectives
Published in
Pharmacogenomics and Personalized Medicine, April 2018
DOI 10.2147/pgpm.s141546
Pubmed ID
Authors

Nicola Mulder, Alash’le Abimiku, Sally N Adebamowo, Jantina de Vries, Alice Matimba, Paul Olowoyo, Michele Ramsay, Michelle Skelton, Dan J Stein

Abstract

Precision medicine is being enabled in high-income countries by the growing availability of health data, increasing knowledge of the genetic determinants of disease and variation in response to treatment (pharmacogenomics), and the decreasing costs of data generation, which promote routine application of genomic technologies in the health sector. However, there is uncertainty about the feasibility of applying precision medicine approaches in low- and middle-income countries, due to the lack of population-specific knowledge, skills, and resources. The Human Heredity and Health in Africa (H3Africa) initiative was established to drive new research into the genetic and environmental basis for human diseases of relevance to Africans as well as to build capacity for genomic research on the continent. Precision medicine requires this capacity, in addition to reference data on local populations, and skills to analyze and interpret genomic data from the bedside. The H3Africa consortium is collectively processing samples and data for over 70,000 participants across the continent, accompanied in most cases by rich clinical information on a variety of non-communicable and infectious diseases. These projects are increasingly providing novel insights into the genetic basis of diseases in indigenous populations, insights that have the potential to drive the development of new diagnostics and treatments. The consortium has also invested significant resources into establishing high-quality biorepositories in Africa, a bioinformatic network, and a strong training program that has developed skills in genomic data analysis and interpretation among bioinformaticians, wet-lab researchers, and health-care professionals. Here, we describe the current perspectives of the H3Africa consortium and how it can contribute to making precision medicine in Africa a reality.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 167 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 13%
Student > Master 20 12%
Student > Ph. D. Student 17 10%
Student > Bachelor 11 7%
Other 11 7%
Other 34 20%
Unknown 53 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 37 22%
Agricultural and Biological Sciences 22 13%
Medicine and Dentistry 14 8%
Nursing and Health Professions 5 3%
Computer Science 5 3%
Other 25 15%
Unknown 59 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 January 2024.
All research outputs
#604,272
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#13,602
of 344,843 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 71.7. This one scored the same or higher as 0 of them.
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 344,843 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them