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Mendeley readers
Attention Score in Context
| Title |
An approach to identifying drug resistance associated mutations in bacterial strains
|
|---|---|
| Published in |
BMC Genomics, December 2012
|
| DOI | 10.1186/1471-2164-13-s7-s23 |
| Pubmed ID | |
| Authors |
Michal Wozniak, Jerzy Tiuryn, Limsoon Wong |
| Abstract |
Drug resistance in bacterial pathogens is an increasing problem, which stimulates research. However, our understanding of drug resistance mechanisms remains incomplete. Fortunately, the fast-growing number of fully sequenced bacterial strains now enables us to develop new methods to identify mutations associated with drug resistance. |
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 % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 4% |
| Student > Bachelor | 1 | 2% |
| Other | 1 | 2% |
| Student > Master | 1 | 2% |
| Professor > Associate Professor | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 49 | 89% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Neuroscience | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Unknown | 49 | 89% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 January 2021.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from BMC Genomics
#2,155
of 11,244 outputs
Outputs of similar age
#52,505
of 286,287 outputs
Outputs of similar age from BMC Genomics
#37
of 202 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 286,287 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 79% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.