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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A method for quantifying pulmonary Legionella pneumophila infection in mouse lungs by flow cytometry
|
|---|---|
| Published in |
BMC Research Notes, August 2012
|
| DOI | 10.1186/1756-0500-5-448 |
| Pubmed ID | |
| Authors |
Desmond Koon Yong Ang, Sze Ying Ong, Andrew Stephen Brown, Elizabeth Louise Hartland, Ian Richard van Driel |
| Abstract |
Pulmonary load of Legionella pneumophila in mice is normally determined by counting serial dilutions of bacterial colony forming units (CFU) on agar plates. This process is often tedious and time consuming. We describe a novel, rapid and versatile flow cytometric method that detects bacteria phagocytosed by neutrophils. |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Student > Master | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 50% |
| Immunology and Microbiology | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Medicine and Dentistry | 1 | 6% |
| Unknown | 2 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 November 2012.
All research outputs
#14,732,278
of 22,675,759 outputs
Outputs from BMC Research Notes
#2,117
of 4,250 outputs
Outputs of similar age
#104,070
of 169,121 outputs
Outputs of similar age from BMC Research Notes
#48
of 93 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,250 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 46th percentile – i.e., 46% 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 169,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.