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Statistical methods for quantitative mass spectrometry proteomic experiments with labeling

Overview of attention for article published in BMC Bioinformatics, November 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
143 Mendeley
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Title
Statistical methods for quantitative mass spectrometry proteomic experiments with labeling
Published in
BMC Bioinformatics, November 2012
DOI 10.1186/1471-2105-13-s16-s7
Pubmed ID
Authors

Ann L Oberg, Douglas W Mahoney

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Colombia 1 <1%
Norway 1 <1%
Korea, Republic of 1 <1%
France 1 <1%
Sweden 1 <1%
South Africa 1 <1%
India 1 <1%
Italy 1 <1%
Other 4 3%
Unknown 129 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 36%
Researcher 33 23%
Student > Master 13 9%
Professor > Associate Professor 9 6%
Student > Bachelor 9 6%
Other 19 13%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 42%
Biochemistry, Genetics and Molecular Biology 24 17%
Medicine and Dentistry 17 12%
Chemistry 10 7%
Engineering 5 3%
Other 13 9%
Unknown 14 10%
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
#8,041,340
of 24,171,511 outputs
Outputs from BMC Bioinformatics
#3,122
of 7,508 outputs
Outputs of similar age
#61,318
of 186,771 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 110 outputs
Altmetric has tracked 24,171,511 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 7,508 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 186,771 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 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 50% of its contemporaries.