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Crowdsourcing in proteomics: public resources lead to better experiments

Overview of attention for article published in Amino Acids, February 2013
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3 X users

Citations

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30 Mendeley
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1 CiteULike
Title
Crowdsourcing in proteomics: public resources lead to better experiments
Published in
Amino Acids, February 2013
DOI 10.1007/s00726-012-1455-z
Pubmed ID
Authors

Harald Barsnes, Lennart Martens

Abstract

With the growing interest in the field of proteomics, the amount of publicly available proteome resources has also increased dramatically. This means that there are many useful resources available for almost all aspects of a proteomics experiment. However, it remains vital to use the right resource, for the right purpose, at the right time. This review is therefore meant to aid the reader in obtaining an overview of the available resources and their application, thus providing the necessary background to choose the appropriate resources for the experiment at hand. Many of the resources are also taking advantage of so-called crowdsourcing to maximize the potential of the resource. What this means and how this can improve future experiments will also be discussed. The text roughly follows the steps involved in a proteomics experiment, starting with the planning of the experiment, via the processing of the data and the analysis of the results, to the community-wide sharing of the produced data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
Norway 1 3%
Belgium 1 3%
Austria 1 3%
Unknown 26 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 6 20%
Student > Ph. D. Student 5 17%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 53%
Medicine and Dentistry 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 2 7%
Computer Science 2 7%
Other 1 3%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 April 2013.
All research outputs
#13,380,993
of 22,703,044 outputs
Outputs from Amino Acids
#912
of 1,512 outputs
Outputs of similar age
#158,588
of 282,825 outputs
Outputs of similar age from Amino Acids
#7
of 12 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 38th percentile – i.e., 38% 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 282,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.