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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular typing of the pneumococcus and its application in epidemiology in sub-Saharan Africa
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, January 2013
|
| DOI | 10.3389/fcimb.2013.00012 |
| Pubmed ID | |
| Authors |
Eric S. Donkor |
| Abstract |
Molecular typing of the pneumococcus has played a crucial role in understanding the epidemiology of the organism. However, most of what is known about molecular epidemiology of the pneumococcus pertains to the developed world. The brunt of pneumococcal infections is borne by sub-Saharan African countries, which makes epidemiological monitoring of the pneumococcus essential in this region of the world. This review paper focuses on molecular typing of the pneumococcus and what is known about epidemiology of the organism in sub-Saharan Africa based on the various typing methods. Several molecular typing methods are available for typing the pneumococcus and the major ones include multilocus sequence typing (MLST), multilocus enzyme electrophoresis (MLEE), serotyping and DNA fingerprinting methods such as pulsed field gel electrophoresis (PFGE) and amplified fragment length polymorphism (AFLP). Currently, MLST is the most suitable method for typing the pneumococcus. The pneumococcal population structure in sub-Saharan Africa appears to be quite different from that of the developed world, and pneumococcal serotype 1 related to the ST 618 clone and clones of the ST 217 clonal complex are responsible for outbreaks in sub-Saharan Africa. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ethiopia | 1 | 2% |
| Colombia | 1 | 2% |
| Unknown | 55 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Student > Master | 11 | 19% |
| Researcher | 6 | 11% |
| Student > Doctoral Student | 6 | 11% |
| Student > Bachelor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 12 | 21% |
| Medicine and Dentistry | 10 | 18% |
| Agricultural and Biological Sciences | 9 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 13 | 23% |
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 12 June 2013.
All research outputs
#17,682,134
of 22,701,287 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#4,023
of 6,305 outputs
Outputs of similar age
#210,135
of 280,698 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#60
of 92 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 24th percentile – i.e., 24% 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 280,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.