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Mendeley readers
Attention Score in Context
| Title |
Accuracies of Leuconostocphenotypic identification: a comparison of API systems and conventional phenotypic assays
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2007
|
| DOI | 10.1186/1471-2334-7-69 |
| Pubmed ID | |
| Authors |
Wanla Kulwichit, Sumanee Nilgate, Tanittha Chatsuwan, Sunisa Krajiw, Chudaachhara Unhasuta, Anan Chongthaleong |
| Abstract |
Commercial diagnostics are commonly used to identify gram-positive bacteria. Errors have been reported mostly at the species level. We have found certain phenotypic criteria used in API systems which significantly misidentify Leuconostoc, an emerging human pathogen, at the genus level. We also attempt to find practical, conventional phenotypic assays for accurate identification of this group of bacteria. |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Bachelor | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer | 3 | 8% |
| Other | 10 | 28% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 36% |
| Immunology and Microbiology | 5 | 14% |
| Environmental Science | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 8 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 November 2019.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from BMC Infectious Diseases
#2,538
of 7,670 outputs
Outputs of similar age
#24,575
of 68,455 outputs
Outputs of similar age from BMC Infectious Diseases
#7
of 11 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,670 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 62% 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 68,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.