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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bacterial adaptation during chronic infection revealed by independent component analysis of transcriptomic data
|
|---|---|
| Published in |
BMC Microbiology, August 2011
|
| DOI | 10.1186/1471-2180-11-184 |
| Pubmed ID | |
| Authors |
Lei Yang, Martin Holm Rau, Liang Yang, Niels Høiby, Søren Molin, Lars Jelsbak |
| Abstract |
Bacteria employ a variety of adaptation strategies during the course of chronic infections. Understanding bacterial adaptation can facilitate the identification of novel drug targets for better treatment of infectious diseases. Transcriptome profiling is a comprehensive and high-throughput approach for characterization of bacterial clinical isolates from infections. However, exploitation of the complex, noisy and high-dimensional transcriptomic dataset is difficult and often hindered by low statistical power. |
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 % |
|---|---|---|
| India | 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Denmark | 1 | 2% |
| Unknown | 50 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 25% |
| Student > Ph. D. Student | 12 | 22% |
| Student > Master | 8 | 15% |
| Professor > Associate Professor | 6 | 11% |
| Professor | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 55% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Immunology and Microbiology | 4 | 7% |
| Medicine and Dentistry | 2 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 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 21 August 2011.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from BMC Microbiology
#1,937
of 3,489 outputs
Outputs of similar age
#94,819
of 133,392 outputs
Outputs of similar age from BMC Microbiology
#16
of 23 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 36th percentile – i.e., 36% 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 133,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.