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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comparison of three multiplex PCR assays for the detection of respiratory viral infections: evaluation of xTAG respiratory virus panel fast assay, RespiFinder 19 assay and RespiFinder SMART 22 assay
|
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Published in |
BMC Infectious Diseases, July 2012
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DOI | 10.1186/1471-2334-12-163 |
Pubmed ID | |
Authors |
Mareike Dabisch-Ruthe, Tanja Vollmer, Ortwin Adams, Cornelius Knabbe, Jens Dreier |
Abstract |
A broad spectrum of pathogens is causative for respiratory tract infections, but symptoms are mostly similar. Therefore, the identification of the causative viruses and bacteria is only feasible using multiplex PCR or several monoplex PCR tests in parallel. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Peru | 1 | 2% |
Unknown | 52 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 19% |
Student > Master | 8 | 15% |
Other | 7 | 13% |
Student > Ph. D. Student | 5 | 9% |
Professor > Associate Professor | 4 | 7% |
Other | 12 | 22% |
Unknown | 8 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 28% |
Medicine and Dentistry | 15 | 28% |
Biochemistry, Genetics and Molecular Biology | 3 | 6% |
Immunology and Microbiology | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Other | 5 | 9% |
Unknown | 11 | 20% |
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 17 September 2021.
All research outputs
#14,147,730
of 22,671,366 outputs
Outputs from BMC Infectious Diseases
#3,743
of 7,641 outputs
Outputs of similar age
#96,026
of 164,599 outputs
Outputs of similar age from BMC Infectious Diseases
#38
of 76 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 47th percentile – i.e., 47% 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 164,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.