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X Demographics
Mendeley readers
Attention Score in Context
| Title |
H3ABioNet, a sustainable pan-African bioinformatics network for human heredity and health in Africa
|
|---|---|
| Published in |
Genome Research, December 2015
|
| DOI | 10.1101/gr.196295.115 |
| Pubmed ID | |
| Authors |
Nicola J. Mulder, Ezekiel Adebiyi, Raouf Alami, Alia Benkahla, James Brandful, Seydou Doumbia, Dean Everett, Faisal M. Fadlelmola, Fatima Gaboun, Simani Gaseitsiwe, Hassan Ghazal, Scott Hazelhurst, Winston Hide, Azeddine Ibrahimi, Yasmina Jaufeerally Fakim, C. Victor Jongeneel, Fourie Joubert, Samar Kassim, Jonathan Kayondo, Judit Kumuthini, Sylvester Lyantagaye, Julie Makani, Ahmed Mansour Alzohairy, Daniel Masiga, Ahmed Moussa, Oyekanmi Nash, Odile Ouwe Missi Oukem-Boyer, Ellis Owusu-Dabo, Sumir Panji, Hugh Patterton, Fouzia Radouani, Khalid Sadki, Fouad Seghrouchni, Özlem Tastan Bishop, Nicki Tiffin, Nzovu Ulenga, The H3ABioNet Consortium |
| Abstract |
The application of genomics technologies to medicine and biomedical research is increasing in popularity, made possible by new high-throughput genotyping and sequencing technologies and improved data analysis capabilities. Some of the greatest genetic diversity among humans, animals, plants and microbiota occurs in Africa, yet genomic research outputs from the continent are limited. The H3Africa initiative was established to drive the development of genomic research for human health in Africa and through recognition of the critical role of bioinformatics in this process, spurred the establishment of H3ABioNet, a pan-African Bioinformatics network for H3Africa. The limitations in bioinformatics capacity on the continent have been a major contributory factor to the lack of notable outputs in high-throughput biology research. While pockets of high quality bioinformatics teams have existed previously, the majority of research institutions lack experienced faculty who can train and supervise bioinformatics students. H3ABioNet aims to address this dire need, specifically in the area of human genetics and genomics, but knock-on effects are ensuring this extends to other areas of bioinformatics. Here we describe the emergence of genomics research and the development of bioinformatics in Africa through H3ABioNet. |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 11% |
| United Kingdom | 1 | 4% |
| Nigeria | 1 | 4% |
| South Africa | 1 | 4% |
| Algeria | 1 | 4% |
| India | 1 | 4% |
| Japan | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Tanzania, United Republic of | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 17 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 61% |
| Scientists | 9 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Ghana | 1 | <1% |
| Unknown | 149 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 15% |
| Student > Ph. D. Student | 21 | 14% |
| Student > Master | 14 | 9% |
| Lecturer | 12 | 8% |
| Student > Doctoral Student | 10 | 7% |
| Other | 39 | 26% |
| Unknown | 32 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 25% |
| Biochemistry, Genetics and Molecular Biology | 28 | 19% |
| Medicine and Dentistry | 13 | 9% |
| Computer Science | 9 | 6% |
| Engineering | 5 | 3% |
| Other | 23 | 15% |
| Unknown | 35 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 09 February 2021.
All research outputs
#1,186,727
of 25,559,053 outputs
Outputs from Genome Research
#456
of 4,438 outputs
Outputs of similar age
#19,634
of 396,467 outputs
Outputs of similar age from Genome Research
#7
of 36 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has done well, scoring higher than 89% 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 396,467 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 95% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.