| Title |
Highly Sensitive Detection of Isoniazid Heteroresistance in Mycobacterium Tuberculosis by Droplet Digital PCR
|
|---|---|
| Published in |
Infection and Drug Resistance, October 2022
|
| DOI | 10.2147/idr.s381097 |
| Pubmed ID | |
| Authors |
Yang Zheng, Hui Xia, Xundi Bao, Bing Zhao, Ping He, Yanlin Zhao |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 18% |
| Student > Master | 2 | 18% |
| Lecturer | 1 | 9% |
| Other | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Agricultural and Biological Sciences | 2 | 18% |
| Computer Science | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Materials Science | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 November 2022.
All research outputs
#13,261,349
of 23,081,466 outputs
Outputs from Infection and Drug Resistance
#382
of 1,693 outputs
Outputs of similar age
#166,166
of 439,744 outputs
Outputs of similar age from Infection and Drug Resistance
#17
of 99 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,693 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 76% 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 439,744 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.