↓ Skip to main content

Efficiency of the Q3 lab-on-chip Real Time-PCR platform for detecting protozoan pathogens in bivalve mollusks

Overview of attention for article published in Journal of Food Science and Technology, August 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
20 Mendeley
Title
Efficiency of the Q3 lab-on-chip Real Time-PCR platform for detecting protozoan pathogens in bivalve mollusks
Published in
Journal of Food Science and Technology, August 2019
DOI 10.1007/s13197-019-03972-7
Pubmed ID
Authors

Annunziata Giangaspero, Marianna Marangi, Maria Stefania Latrofa, Giada Annoscia, Lorenza Putignani, Gioia Capelli, Lucia Bonassisa, Giovanni Normanno, Domenico Otranto, Marco Cereda, Francesco Ferrara

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 3 15%
Researcher 3 15%
Student > Postgraduate 2 10%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 3 15%
Unknown 7 35%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 6 30%
Agricultural and Biological Sciences 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Immunology and Microbiology 1 5%
Sports and Recreations 1 5%
Other 2 10%
Unknown 7 35%
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 06 January 2021.
All research outputs
#16,464,806
of 25,013,458 outputs
Outputs from Journal of Food Science and Technology
#711
of 1,580 outputs
Outputs of similar age
#210,357
of 352,633 outputs
Outputs of similar age from Journal of Food Science and Technology
#20
of 57 outputs
Altmetric has tracked 25,013,458 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 1,580 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 52% 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 352,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 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 63% of its contemporaries.