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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Species and genotypic diversity of non-tuberculous mycobacteria isolated from children investigated for pulmonary tuberculosis in rural Uganda
|
|---|---|
| Published in |
BMC Infectious Diseases, February 2013
|
| DOI | 10.1186/1471-2334-13-88 |
| Pubmed ID | |
| Authors |
Benon B Asiimwe, Godwins B Bagyenzi, Willy Ssengooba, Francis Mumbowa, Gerald Mboowa, Anne Wajja, Harriet Mayanja-Kiiza, Philippa M Musoke, Eric Wobudeya, Gunilla Kallenius, Moses L Joloba |
| Abstract |
Smear microscopy, a mainstay of tuberculosis (TB) diagnosis in developing countries, cannot differentiate M. tuberculosis complex from NTM infection, while pulmonary TB shares clinical signs with NTM disease, causing clinical and diagnostic dilemmas. This study used molecular assays to identify species and assess genotypic diversity of non-tuberculous mycobacteria (NTM) isolates from children investigated for pulmonary tuberculosis at a demographic surveillance site in rural eastern Uganda. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| South Africa | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| India | 1 | <1% |
| Unknown | 121 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 24% |
| Researcher | 26 | 21% |
| Student > Ph. D. Student | 14 | 11% |
| Other | 8 | 6% |
| Student > Postgraduate | 7 | 6% |
| Other | 18 | 15% |
| Unknown | 21 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 38% |
| Agricultural and Biological Sciences | 15 | 12% |
| Immunology and Microbiology | 13 | 10% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Nursing and Health Professions | 5 | 4% |
| Other | 8 | 6% |
| Unknown | 28 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 January 2014.
All research outputs
#14,162,589
of 22,696,971 outputs
Outputs from BMC Infectious Diseases
#3,744
of 7,644 outputs
Outputs of similar age
#110,226
of 192,548 outputs
Outputs of similar age from BMC Infectious Diseases
#82
of 162 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,644 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 47th percentile – i.e., 47% 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 192,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.