| Title |
IgG, IgM and IgA antibodies against the novel polyprotein in active tuberculosis
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2014
|
| DOI | 10.1186/1471-2334-14-336 |
| Pubmed ID | |
| Authors |
Xiaoyan Feng, Xiqin Yang, Bingshui Xiu, Shuang Qie, Zhenhua Dai, Kun Chen, Ping Zhao, Li Zhang, Russell A Nicholson, Guohua Wang, Xiaoguo Song, Heqiu Zhang |
| Abstract |
The present study was aimed to evaluate whether IgG, IgM and IgA antibodies levels detected against a novel Mycobacterium tuberculosis polyprotein 38 F-64 F (with 38 F being the abbreviation for 38kD-ESAT6-CFP10 and 64 F for Mtb8.4-MPT64-TB16.3-Mtb8) are suitable for diagnosing active tuberculosis, and for monitoring the efficacy of chemotherapy on TB patients. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 16% |
| Student > Bachelor | 9 | 15% |
| Researcher | 8 | 13% |
| Student > Master | 8 | 13% |
| Other | 4 | 7% |
| Other | 9 | 15% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 23% |
| Medicine and Dentistry | 11 | 18% |
| Immunology and Microbiology | 9 | 15% |
| Nursing and Health Professions | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 16 | 26% |
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 18 June 2014.
All research outputs
#17,722,431
of 22,757,541 outputs
Outputs from BMC Infectious Diseases
#5,087
of 7,665 outputs
Outputs of similar age
#155,559
of 228,185 outputs
Outputs of similar age from BMC Infectious Diseases
#127
of 174 outputs
Altmetric has tracked 22,757,541 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 7,665 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 27th percentile – i.e., 27% 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 228,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.