| Title |
Altered serum microRNAs as biomarkers for the early diagnosis of pulmonary tuberculosis infection
|
|---|---|
| Published in |
BMC Infectious Diseases, December 2012
|
| DOI | 10.1186/1471-2334-12-384 |
| Pubmed ID | |
| Authors |
Yuhua Qi, Lunbiao Cui, Yiyue Ge, Zhiyang Shi, Kangchen Zhao, Xiling Guo, Dandan Yang, Hao Yu, Lan Cui, Yunfeng Shan, Minghao Zhou, Hua Wang, Zuhong Lu |
| Abstract |
Pulmonary tuberculosis (TB) is a highly lethal infectious disease and early diagnosis of TB is critical for the control of disease progression. The objective of this study was to profile a panel of serum microRNAs (miRNAs) as potential biomarkers for the early diagnosis of pulmonary TB infection. |
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 % |
|---|---|---|
| Brazil | 1 | 25% |
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | 1% |
| Ireland | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 149 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 19% |
| Student > Ph. D. Student | 21 | 14% |
| Student > Master | 20 | 13% |
| Student > Doctoral Student | 13 | 8% |
| Student > Bachelor | 10 | 6% |
| Other | 31 | 20% |
| Unknown | 30 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 19% |
| Agricultural and Biological Sciences | 24 | 15% |
| Biochemistry, Genetics and Molecular Biology | 20 | 13% |
| Immunology and Microbiology | 20 | 13% |
| Computer Science | 8 | 5% |
| Other | 19 | 12% |
| Unknown | 35 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 29 June 2023.
All research outputs
#6,130,865
of 24,387,992 outputs
Outputs from BMC Infectious Diseases
#1,859
of 8,156 outputs
Outputs of similar age
#61,469
of 289,111 outputs
Outputs of similar age from BMC Infectious Diseases
#34
of 170 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 77% of its peers.
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 289,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.