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Identification and characterization of stem cell secretome-based recombinant proteins for wound healing applications

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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6 Dimensions

Readers on

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30 Mendeley
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Title
Identification and characterization of stem cell secretome-based recombinant proteins for wound healing applications
Published in
Frontiers in Bioengineering and Biotechnology, July 2022
DOI 10.3389/fbioe.2022.954682
Pubmed ID
Authors

Ji Hyun Kim, Denethia S. Green, Young Min Ju, Mollie Harrison, J. William Vaughan, Anthony Atala, Sang Jin Lee, John D. Jackson, Cory Nykiforuk, James J. Yoo

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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Other 2 7%
Student > Bachelor 1 3%
Other 3 10%
Unknown 14 47%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Biochemistry, Genetics and Molecular Biology 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Environmental Science 1 3%
Unspecified 1 3%
Other 4 13%
Unknown 15 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 July 2022.
All research outputs
#18,547,867
of 22,971,207 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,423
of 6,687 outputs
Outputs of similar age
#300,986
of 432,918 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#278
of 653 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,687 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 432,918 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 653 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.