You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
High-throughput microarray technology in diagnostics of enterobacteria based on genome-wide probe selection and regression analysis
|
|---|---|
| Published in |
BMC Genomics, October 2010
|
| DOI | 10.1186/1471-2164-11-591 |
| Pubmed ID | |
| Authors |
Torben Friedrich, Sven Rahmann, Wilfried Weigel, Wolfgang Rabsch, Angelika Fruth, Eliora Ron, Florian Gunzer, Thomas Dandekar, Jörg Hacker, Tobias Müller, Ulrich Dobrindt |
| Abstract |
The Enterobacteriaceae comprise a large number of clinically relevant species with several individual subspecies. Overlapping virulence-associated gene pools and the high overall genome plasticity often interferes with correct enterobacterial strain typing and risk assessment. Array technology offers a fast, reproducible and standardisable means for bacterial typing and thus provides many advantages for bacterial diagnostics, risk assessment and surveillance. The development of highly discriminative broad-range microbial diagnostic microarrays remains a challenge, because of marked genome plasticity of many bacterial pathogens. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Estonia | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 27% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 29% |
| Medicine and Dentistry | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Computer Science | 4 | 8% |
| Environmental Science | 2 | 4% |
| Other | 10 | 19% |
| Unknown | 12 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 June 2011.
All research outputs
#3,261,278
of 22,721,584 outputs
Outputs from BMC Genomics
#1,278
of 10,626 outputs
Outputs of similar age
#13,473
of 99,345 outputs
Outputs of similar age from BMC Genomics
#10
of 64 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 99,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.