| Title |
Application of next-generation sequencing to detect variants of drug-resistant Mycobacterium tuberculosis: genotype–phenotype correlation
|
|---|---|
| Published in |
Annals of Clinical Microbiology and Antimicrobials, January 2019
|
| DOI | 10.1186/s12941-018-0300-y |
| Pubmed ID | |
| Authors |
Dae-Hyun Ko, Eun Jin Lee, Su-Kyung Lee, Han-Sung Kim, So Youn Shin, Jungwon Hyun, Jae-Seok Kim, Wonkeun Song, Hyun Soo Kim |
X Demographics
The data shown below were collected from the profiles of 8 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 | 13% |
| United Kingdom | 1 | 13% |
| Venezuela, Bolivarian Republic of | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 14% |
| Student > Ph. D. Student | 10 | 13% |
| Other | 8 | 10% |
| Researcher | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 14 | 18% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 18% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Immunology and Microbiology | 12 | 15% |
| Agricultural and Biological Sciences | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 29 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 22 November 2019.
All research outputs
#7,502,830
of 23,577,654 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#157
of 621 outputs
Outputs of similar age
#153,037
of 440,932 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#2
of 16 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 621 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 73% 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 440,932 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 64% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.