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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features
|
|---|---|
| Published in |
BMC Genomics, November 2012
|
| DOI | 10.1186/1471-2164-13-679 |
| Pubmed ID | |
| Authors |
Joo-Hyun Seo, Jay Sung-Joong Hong, Donghyuk Kim, Byung-Kwan Cho, Tzu-Wen Huang, Shih-Feng Tsai, Bernhard O Palsson, Pep Charusanti |
| Abstract |
The increasing number of infections caused by strains of Klebsiella pneumoniae that are resistant to multiple antibiotics has developed into a major medical problem worldwide. The development of next-generation sequencing technologies now permits rapid sequencing of many K. pneumoniae isolates, but sequence information alone does not provide important structural and operational information for its genome. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 1% |
| India | 1 | 1% |
| Denmark | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 75 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 38% |
| Student > Ph. D. Student | 21 | 27% |
| Professor > Associate Professor | 5 | 6% |
| Student > Master | 4 | 5% |
| Professor | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 43% |
| Biochemistry, Genetics and Molecular Biology | 17 | 22% |
| Immunology and Microbiology | 6 | 8% |
| Medicine and Dentistry | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 14 | 18% |
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 04 December 2012.
All research outputs
#17,671,894
of 22,687,320 outputs
Outputs from BMC Genomics
#7,526
of 10,617 outputs
Outputs of similar age
#207,191
of 277,026 outputs
Outputs of similar age from BMC Genomics
#272
of 372 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,617 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 277,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 372 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.