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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparing Mycobacterium tuberculosis genomes using genome topology networks
|
|---|---|
| Published in |
BMC Genomics, February 2015
|
| DOI | 10.1186/s12864-015-1259-0 |
| Pubmed ID | |
| Authors |
Jianping Jiang, Jianlei Gu, Liang Zhang, Chenyi Zhang, Xiao Deng, Tonghai Dou, Guoping Zhao, Yan Zhou |
| Abstract |
Over the last decade, emerging research methods, such as comparative genomic analysis and phylogenetic study, have yielded new insights into genotypes and phenotypes of closely related bacterial strains. Several findings have revealed that genomic structural variations (SVs), including gene gain/loss, gene duplication and genome rearrangement, can lead to different phenotypes among strains, and an investigation of genes affected by SVs may extend our knowledge of the relationships between SVs and phenotypes in microbes, especially in pathogenic bacteria. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 25% |
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 32% |
| Biochemistry, Genetics and Molecular Biology | 14 | 19% |
| Immunology and Microbiology | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Chemistry | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 17 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from BMC Genomics
#9,273
of 10,648 outputs
Outputs of similar age
#302,944
of 359,569 outputs
Outputs of similar age from BMC Genomics
#229
of 253 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 359,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.