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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel, multiplex, real-time PCR–based approach for the detection of the commonly occurring pathogenic fungi and bacteria
|
|---|---|
| Published in |
BMC Microbiology, December 2013
|
| DOI | 10.1186/1471-2180-13-300 |
| Pubmed ID | |
| Authors |
Ádám Horváth, Zoltán Pető, Edit Urbán, Csaba Vágvölgyi, Ferenc Somogyvári |
| Abstract |
Polymerase chain reaction (PCR)-based techniques are widely used to identify fungal and bacterial infections. There have been numerous reports of different, new, real-time PCR-based pathogen identification methods although the clinical practicability of such techniques is not yet fully clarified.The present study focuses on a novel, multiplex, real-time PCR-based pathogen identification system developed for rapid differentiation of the commonly occurring bacterial and fungal causative pathogens of bloodstream infections. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 2 | 67% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 21% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Doctoral Student | 8 | 11% |
| Student > Master | 5 | 7% |
| Other | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 23% |
| Agricultural and Biological Sciences | 16 | 21% |
| Medicine and Dentistry | 10 | 13% |
| Immunology and Microbiology | 4 | 5% |
| Engineering | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 19 | 25% |
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 16 August 2022.
All research outputs
#4,279,808
of 25,374,917 outputs
Outputs from BMC Microbiology
#405
of 3,489 outputs
Outputs of similar age
#47,432
of 320,884 outputs
Outputs of similar age from BMC Microbiology
#4
of 50 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 320,884 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 85% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.