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A tool to facilitate clinical biomarker studies - a tissue dictionary based on the Human Protein Atlas

Overview of attention for article published in BMC Medicine, September 2012
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
11 tweeters

Citations

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14 Dimensions

Readers on

mendeley
23 Mendeley
citeulike
1 CiteULike
Title
A tool to facilitate clinical biomarker studies - a tissue dictionary based on the Human Protein Atlas
Published in
BMC Medicine, September 2012
DOI 10.1186/1741-7015-10-103
Pubmed ID
Authors

Caroline Kampf, Julia Bergman, Per Oksvold, Anna Asplund, Sanjay Navani, Mikaela Wiking, Emma Lundberg, Mathias Uhlén, Fredrik Ponten

Abstract

The complexity of tissue and the alterations that distinguish normal from cancer remain a challenge for translating results from tumor biological studies into clinical medicine. This has generated an unmet need to exploit the findings from studies based on cell lines and model organisms to develop, validate and clinically apply novel diagnostic, prognostic and treatment predictive markers. As one step to meet this challenge, the Human Protein Atlas project has been set up to produce antibodies towards human protein targets corresponding to all human protein coding genes and to map protein expression in normal human tissues, cancer and cells. Here, we present a dictionary based on microscopy images created as an amendment to the Human Protein Atlas. The aim of the dictionary is to facilitate the interpretation and use of the image-based data available in the Human Protein Atlas, but also to serve as a tool for training and understanding tissue histology, pathology and cell biology. The dictionary contains three main parts, normal tissues, cancer tissues and cells, and is based on high-resolution images at different magnifications of full tissue sections stained with H & E. The cell atlas is centered on immunofluorescence and confocal microscopy images, using different color channels to highlight the organelle structure of a cell. Here, we explain how this dictionary can be used as a tool to aid clinicians and scientists in understanding the use of tissue histology and cancer pathology in diagnostics and biomarker studies.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Researcher 5 22%
Other 4 17%
Professor > Associate Professor 3 13%
Professor 3 13%
Other 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Medicine and Dentistry 8 35%
Biochemistry, Genetics and Molecular Biology 2 9%
Neuroscience 1 4%
Computer Science 1 4%
Other 0 0%
Unknown 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 October 2012.
All research outputs
#2,057,278
of 12,517,134 outputs
Outputs from BMC Medicine
#1,205
of 2,010 outputs
Outputs of similar age
#20,193
of 125,539 outputs
Outputs of similar age from BMC Medicine
#9
of 23 outputs
Altmetric has tracked 12,517,134 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.9. This one is in the 39th percentile – i.e., 39% 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 125,539 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 83% of its contemporaries.
We're also able to compare this research output to 23 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 65% of its contemporaries.