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A novel method to assess collagen architecture in skin

Overview of attention for article published in BMC Bioinformatics, August 2013
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Title
A novel method to assess collagen architecture in skin
Published in
BMC Bioinformatics, August 2013
DOI 10.1186/1471-2105-14-260
Pubmed ID
Authors

Osman S Osman, Joanne L Selway, Parvathy E Harikumar, Claire J Stocker, Edward T Wargent, Michael A Cawthorne, Sabah Jassim, Kenneth Langlands

Abstract

Texture within biological specimens may reveal critical insights, while being very difficult to quantify. This is a particular problem in histological analysis. For example, cross-polar images of picrosirius stained skin reveal exquisite structure, allowing changes in the basketweave conformation of healthy collagen to be assessed. Existing techniques measure gross pathological changes, such as fibrosis, but are not sufficiently sensitive to detect more subtle and progressive pathological changes in the dermis, such as those seen in ageing. Moreover, screening methods for cutaneous therapeutics require accurate, unsupervised and high-throughput image analysis techniques.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
South Africa 1 1%
United Kingdom 1 1%
Iran, Islamic Republic of 1 1%
Belgium 1 1%
Unknown 86 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 17 18%
Student > Master 12 13%
Student > Bachelor 8 9%
Student > Doctoral Student 4 4%
Other 14 15%
Unknown 11 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 22%
Engineering 15 16%
Medicine and Dentistry 12 13%
Biochemistry, Genetics and Molecular Biology 9 10%
Materials Science 4 4%
Other 16 17%
Unknown 16 17%
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 28 August 2013.
All research outputs
#15,283,138
of 22,727,570 outputs
Outputs from BMC Bioinformatics
#5,367
of 7,262 outputs
Outputs of similar age
#123,435
of 199,740 outputs
Outputs of similar age from BMC Bioinformatics
#64
of 84 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 199,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.