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Biobank resources for future patient care: developments, principles and concepts

Overview of attention for article published in Journal of Clinical Bioinformatics, September 2011
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 news outlet
twitter
2 X users
facebook
3 Facebook pages

Citations

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44 Dimensions

Readers on

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76 Mendeley
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Title
Biobank resources for future patient care: developments, principles and concepts
Published in
Journal of Clinical Bioinformatics, September 2011
DOI 10.1186/2043-9113-1-24
Pubmed ID
Authors

Ákos Végvári, Charlotte Welinder, Henrik Lindberg, Thomas E Fehniger, György Marko-Varga

Abstract

The aim of the overview is to give a perspective of global biobank development is given in a view of positioning biobanking as a key resource for healthcare to identify new potential markers that can be used in patient diagnosis and complement the targeted personalized drug treatment. The fast progression of biobanks around the world is becoming an important resource for society where the patient benefit is in the focus, with a high degree of personal integrity and ethical standard. Biobanks are providing patient benefits by large scale screening studies, generating large database repositories. It is envisioned by all participating stakeholders that the biobank initiatives will become the future gateway to discover new frontiers within life science and patient care. There is a great importance of biobank establishment globally, as biobanks has been identified as a key area for development in order to speed up the discovery and development of new drugs and protein biomarker diagnostics. One of the major objectives in Europe is to establish concerted actions, where biobank networks are being developed in order to combine and have the opportunity to share and build new science and understanding from complex disease biology. These networks are currently building bridges to facilitate the establishments of best practice and standardizations.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Italy 1 1%
North Macedonia 1 1%
Sweden 1 1%
France 1 1%
United Kingdom 1 1%
Finland 1 1%
Japan 1 1%
Luxembourg 1 1%
Other 0 0%
Unknown 64 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 30%
Student > Ph. D. Student 11 14%
Student > Bachelor 10 13%
Student > Master 6 8%
Other 5 7%
Other 12 16%
Unknown 9 12%
Readers by discipline Count As %
Medicine and Dentistry 15 20%
Agricultural and Biological Sciences 15 20%
Biochemistry, Genetics and Molecular Biology 10 13%
Computer Science 7 9%
Chemical Engineering 4 5%
Other 14 18%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 21 September 2020.
All research outputs
#2,983,218
of 25,374,647 outputs
Outputs from Journal of Clinical Bioinformatics
#5
of 61 outputs
Outputs of similar age
#14,327
of 129,990 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#1
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 129,990 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 88% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them