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Keloids: The paradigm of skin fibrosis — Pathomechanisms and treatment

Overview of attention for article published in Matrix Biology, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 1,113)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Citations

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270 Dimensions

Readers on

mendeley
224 Mendeley
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Title
Keloids: The paradigm of skin fibrosis — Pathomechanisms and treatment
Published in
Matrix Biology, February 2016
DOI 10.1016/j.matbio.2016.01.013
Pubmed ID
Authors

Jonathan P. Andrews, Jaana Marttala, Edward Macarak, Joel Rosenbloom, Jouni Uitto

Abstract

Keloids, fibroproliferative dermal tumors with effusive accumulation of extracellular matrix (ECM) components, particularly collagen, result from excessive expression of growth factors and cytokines. The etiology of keloids is unknown but they occur after dermal injury in genetically susceptible individuals, and they cause both physical and psychological distress for the affected individuals. Several treatment methods for keloids exist, including the combination therapy of surgical incision followed by intralesional steroid therapy, however, they have high recurrence rate regardless of the current treatment method. Improved understanding of the pathomechanisms leading to keloid formation will hopefully identify pathways that serve as specific targets to improve therapy for this devastating, currently intractable, disorder.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
Unknown 222 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 29 13%
Student > Ph. D. Student 25 11%
Student > Master 24 11%
Student > Postgraduate 20 9%
Researcher 18 8%
Other 45 20%
Unknown 63 28%
Readers by discipline Count As %
Medicine and Dentistry 72 32%
Biochemistry, Genetics and Molecular Biology 30 13%
Agricultural and Biological Sciences 15 7%
Engineering 6 3%
Nursing and Health Professions 4 2%
Other 27 12%
Unknown 70 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 31 January 2023.
All research outputs
#2,062,848
of 25,373,627 outputs
Outputs from Matrix Biology
#28
of 1,113 outputs
Outputs of similar age
#35,466
of 405,924 outputs
Outputs of similar age from Matrix Biology
#1
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,113 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 97% 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 405,924 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.