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A cell ELISA based method for exosome detection in diagnostic and therapeutic applications

Overview of attention for article published in Biotechnology Techniques, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
52 Mendeley
Title
A cell ELISA based method for exosome detection in diagnostic and therapeutic applications
Published in
Biotechnology Techniques, April 2019
DOI 10.1007/s10529-019-02667-5
Pubmed ID
Authors

Shabanali Khodashenas, Saeed Khalili, Mehdi Forouzandeh Moghadam

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Ph. D. Student 6 12%
Student > Bachelor 5 10%
Researcher 5 10%
Student > Doctoral Student 4 8%
Other 5 10%
Unknown 19 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 19%
Medicine and Dentistry 8 15%
Engineering 5 10%
Agricultural and Biological Sciences 2 4%
Design 2 4%
Other 8 15%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 February 2022.
All research outputs
#8,266,724
of 25,385,509 outputs
Outputs from Biotechnology Techniques
#800
of 2,762 outputs
Outputs of similar age
#145,242
of 366,144 outputs
Outputs of similar age from Biotechnology Techniques
#3
of 13 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 366,144 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 59% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.