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Network proteomic analysis identifies inter-alpha-trypsin inhibitor heavy chain 4 during early human Achilles tendon healing as a prognostic biomarker of good long-term outcomes

Overview of attention for article published in Frontiers in immunology, July 2023
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1 X user

Citations

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1 Dimensions

Readers on

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6 Mendeley
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Title
Network proteomic analysis identifies inter-alpha-trypsin inhibitor heavy chain 4 during early human Achilles tendon healing as a prognostic biomarker of good long-term outcomes
Published in
Frontiers in immunology, July 2023
DOI 10.3389/fimmu.2023.1191536
Pubmed ID
Authors

Xinjie Wu, Junyu Chen, Wei Sun, David A. Hart, Paul W. Ackermann, Aisha S. Ahmed

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 3 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 06 July 2023.
All research outputs
#23,214,800
of 25,872,466 outputs
Outputs from Frontiers in immunology
#28,086
of 32,522 outputs
Outputs of similar age
#315,453
of 372,718 outputs
Outputs of similar age from Frontiers in immunology
#1,075
of 1,221 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,522 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% 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 372,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,221 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.