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Proteomics Profiling of Autologous Blood and Semen Exosomes from HIV-infected and Uninfected Individuals Reveals Compositional and Functional Variabilities*

Overview of attention for article published in Molecular and Cellular Proteomics, November 2019
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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 (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

news
1 news outlet
twitter
6 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Proteomics Profiling of Autologous Blood and Semen Exosomes from HIV-infected and Uninfected Individuals Reveals Compositional and Functional Variabilities*
Published in
Molecular and Cellular Proteomics, November 2019
DOI 10.1074/mcp.ra119.001594
Pubmed ID
Authors

Hussein Kaddour, Yuan Lyu, Jennifer L Welch, Victor Paromov, Sammed N Mandape, Shruti S Sakhare, Jui Pandhare, Jack T Stapleton, Siddharth Pratap, Chandravanu Dash, Chioma M Okeoma

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 25%
Student > Ph. D. Student 5 11%
Student > Master 4 9%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Other 4 9%
Unknown 14 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 23%
Agricultural and Biological Sciences 5 11%
Immunology and Microbiology 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Engineering 2 5%
Other 5 11%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 08 December 2020.
All research outputs
#2,802,331
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#463
of 3,223 outputs
Outputs of similar age
#58,517
of 378,169 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#14
of 33 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 85% 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 378,169 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 84% of its contemporaries.
We're also able to compare this research output to 33 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 57% of its contemporaries.