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Mendeley readers
Attention Score in Context
| Title |
NetCapDB: measuring bioinformatics capacity development in Africa
|
|---|---|
| Published in |
BMC Research Notes, March 2016
|
| DOI | 10.1186/s13104-016-1950-5 |
| Pubmed ID | |
| Authors |
Hocine Bendou, Jean-Baka Domelevo Entfellner, Peter van Heusden, Junaid Gamieldien, Nicki Tiffin, for the H3ABioNet Consortium, as members of the H3Africa Consortium |
| Abstract |
The National Institutes of Health (USA) has committed 5 years of funding to the Bioinformatics Network of the Human Heredity and Health in Africa initiative. This pan-African network aims to develop capacity for bioinformatics research, in order to provide support to human health genomics research programs ongoing on the continent. Over the 5 years of funding, it is imperative to track changes in bioinformatics capacity at the funded centres and to document how the funding has translated into capacity development during this time frame. The Network capacity database, NetCapDB, is a relational database that captures quantitative metrics for bioinformatics capacity, and tracks the changes in these metrics over time. A graphical user interface allows for straight-forward, browser-based data entry by users across Africa; and for visual and graph-based exploration of captured data. A reporting interface allows for semi-automated generation of standardized reports for monitoring and evaluation purposes. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 15% |
| Student > Doctoral Student | 3 | 15% |
| Other | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 30% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Medicine and Dentistry | 3 | 15% |
| Business, Management and Accounting | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 25% |
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 March 2016.
All research outputs
#20,315,221
of 22,856,968 outputs
Outputs from BMC Research Notes
#3,563
of 4,267 outputs
Outputs of similar age
#252,281
of 298,823 outputs
Outputs of similar age from BMC Research Notes
#104
of 118 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,267 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% 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 298,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.