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Comparison of membrane affinity-based method with size-exclusion chromatography for isolation of exosome-like vesicles from human plasma

Overview of attention for article published in Journal of Translational Medicine, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 X users
patent
3 patents

Citations

dimensions_citation
285 Dimensions

Readers on

mendeley
362 Mendeley
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Title
Comparison of membrane affinity-based method with size-exclusion chromatography for isolation of exosome-like vesicles from human plasma
Published in
Journal of Translational Medicine, January 2018
DOI 10.1186/s12967-017-1374-6
Pubmed ID
Authors

Ruzena Stranska, Laurens Gysbrechts, Jens Wouters, Pieter Vermeersch, Katarzyna Bloch, Daan Dierickx, Graciela Andrei, Robert Snoeck

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 362 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 362 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 19%
Researcher 49 14%
Student > Bachelor 45 12%
Student > Master 35 10%
Student > Doctoral Student 18 5%
Other 44 12%
Unknown 102 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 92 25%
Agricultural and Biological Sciences 38 10%
Medicine and Dentistry 31 9%
Pharmacology, Toxicology and Pharmaceutical Science 16 4%
Immunology and Microbiology 13 4%
Other 57 16%
Unknown 115 32%
Attention Score in Context

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 07 April 2022.
All research outputs
#4,353,664
of 25,837,817 outputs
Outputs from Journal of Translational Medicine
#786
of 4,701 outputs
Outputs of similar age
#87,358
of 454,963 outputs
Outputs of similar age from Journal of Translational Medicine
#18
of 72 outputs
Altmetric has tracked 25,837,817 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 4,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 83% 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 454,963 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 80% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.