| Title |
Application of Droplet Digital PCR to Detection of Mycobacterium tuberculosis and Mycobacterium leprae Infections: A Narrative Review
|
|---|---|
| Published in |
Infection and Drug Resistance, March 2022
|
| DOI | 10.2147/idr.s349607 |
| Pubmed ID | |
| Authors |
Yuxin Fan, Jingjing Chen, Meixiao Liu, Xin Xu, Yu Zhang, Peng Yue, Wenjing Cao, Zhenhua Ji, Xuan Su, Shiyuan Wen, Jing Kong, Guozhong Zhou, Bingxue Li, Yan Dong, Aihua Liu, Fukai Bao |
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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 15% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Unspecified | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 22 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Immunology and Microbiology | 4 | 9% |
| Unspecified | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 22 | 48% |
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 25 March 2022.
All research outputs
#15,232,420
of 23,414,653 outputs
Outputs from Infection and Drug Resistance
#645
of 1,744 outputs
Outputs of similar age
#236,316
of 442,484 outputs
Outputs of similar age from Infection and Drug Resistance
#40
of 108 outputs
Altmetric has tracked 23,414,653 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,744 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 56% 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 442,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.