↓ Skip to main content

Pseudomonas aeruginosa Detection Using Conventional PCR and Quantitative Real-Time PCR Based on Species-Specific Novel Gene Targets Identified by Pangenome Analysis

Overview of attention for article published in Frontiers in Microbiology, May 2022
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
49 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Pseudomonas aeruginosa Detection Using Conventional PCR and Quantitative Real-Time PCR Based on Species-Specific Novel Gene Targets Identified by Pangenome Analysis
Published in
Frontiers in Microbiology, May 2022
DOI 10.3389/fmicb.2022.820431
Pubmed ID
Authors

Chufang Wang, Qinghua Ye, Aiming Jiang, Jumei Zhang, Yuting Shang, Fan Li, Baoqing Zhou, Xinran Xiang, Qihui Gu, Rui Pang, Yu Ding, Shi Wu, Moutong Chen, Qingping Wu, Juan Wang

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Ph. D. Student 4 8%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Unspecified 1 2%
Other 2 4%
Unknown 29 59%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 4 8%
Agricultural and Biological Sciences 3 6%
Veterinary Science and Veterinary Medicine 2 4%
Environmental Science 1 2%
Other 4 8%
Unknown 28 57%
Attention Score in Context

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 23 May 2022.
All research outputs
#14,069,925
of 23,822,306 outputs
Outputs from Frontiers in Microbiology
#11,188
of 26,488 outputs
Outputs of similar age
#192,687
of 445,488 outputs
Outputs of similar age from Frontiers in Microbiology
#446
of 1,359 outputs
Altmetric has tracked 23,822,306 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,488 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 54% 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 445,488 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1,359 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.