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Precise protein quantification based on peptide quantification using iTRAQ™

Overview of attention for article published in BMC Bioinformatics, June 2007
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Mentioned by

patent
1 patent

Citations

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97 Dimensions

Readers on

mendeley
158 Mendeley
citeulike
5 CiteULike
connotea
1 Connotea
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Title
Precise protein quantification based on peptide quantification using iTRAQ™
Published in
BMC Bioinformatics, June 2007
DOI 10.1186/1471-2105-8-214
Pubmed ID
Authors

Andreas M Boehm, Stephanie Pütz, Daniela Altenhöfer, Albert Sickmann, Michael Falk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 5 3%
United States 4 3%
Germany 2 1%
Austria 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Indonesia 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 0 0%
Unknown 141 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 31%
Researcher 39 25%
Student > Master 18 11%
Student > Bachelor 11 7%
Professor > Associate Professor 8 5%
Other 25 16%
Unknown 8 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 42%
Biochemistry, Genetics and Molecular Biology 22 14%
Chemistry 19 12%
Computer Science 14 9%
Medicine and Dentistry 10 6%
Other 16 10%
Unknown 10 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 December 2015.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from BMC Bioinformatics
#3,024
of 7,284 outputs
Outputs of similar age
#24,697
of 68,919 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 46 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 68,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.