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Attention Score in Context
Title |
Rapid and accurate detection of RMP- and INH- resistant Mycobacterium tuberculosisin spinal tuberculosis specimens by CapitalBio™ DNA microarray: A prospective validation study
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Published in |
BMC Infectious Diseases, November 2012
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DOI | 10.1186/1471-2334-12-303 |
Pubmed ID | |
Authors |
Zehua Zhang, Litao Li, Fei Luo, Peng Cheng, Feng Wu, Zheng Wu, Tianyong Hou, Min Zhong, Jianzhong Xu |
Abstract |
DNA microarrays can detect tuberculosis and its multi-drug resistant form in M. tuberculosis isolates and sputum specimens with high sensitivity and specificity. However, no performance data currently exists for its use in spinal tuberculosis specimens. This study was aimed to assess the performance of the CapitalBio™ DNA microarray in the detection of isoniazid (INH) and rifampicin (RMP) resistance in spinal tuberculosis compared with the BACT/MGIT 960 system. |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 19% |
Researcher | 8 | 15% |
Student > Master | 6 | 12% |
Student > Postgraduate | 5 | 10% |
Student > Bachelor | 3 | 6% |
Other | 9 | 17% |
Unknown | 11 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 35% |
Agricultural and Biological Sciences | 6 | 12% |
Nursing and Health Professions | 3 | 6% |
Biochemistry, Genetics and Molecular Biology | 3 | 6% |
Immunology and Microbiology | 3 | 6% |
Other | 7 | 13% |
Unknown | 12 | 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 25 May 2013.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from BMC Infectious Diseases
#5,557
of 7,643 outputs
Outputs of similar age
#136,283
of 179,003 outputs
Outputs of similar age from BMC Infectious Diseases
#104
of 152 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,643 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 15th percentile – i.e., 15% 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 179,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.