| Title |
Potential Genes Related to Levofloxacin Resistance in Mycobacterium tuberculosis Based on Transcriptome and Methylome Overlap Analysis
|
|---|---|
| Published in |
Journal of Molecular Evolution, January 2020
|
| DOI | 10.1007/s00239-019-09926-z |
| Pubmed ID | |
| Authors |
Hai-cheng Li, Hui-xin Guo, Tao Chen, Wei Wang, Zhu-hua Wu, Liang Chen, Hui-zhong Wu, Gao-po Xu, Xun-xun Chen, Lin Zhou |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Other | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 2 | 8% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Medicine and Dentistry | 5 | 21% |
| Agricultural and Biological Sciences | 2 | 8% |
| Immunology and Microbiology | 2 | 8% |
| Chemical Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 29% |
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 11 January 2020.
All research outputs
#14,470,260
of 23,186,937 outputs
Outputs from Journal of Molecular Evolution
#1,105
of 1,457 outputs
Outputs of similar age
#244,652
of 456,680 outputs
Outputs of similar age from Journal of Molecular Evolution
#7
of 15 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 22nd percentile – i.e., 22% 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 456,680 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 15 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 53% of its contemporaries.