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Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics

Overview of attention for article published in BMC Bioinformatics, November 2012
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  • 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
98 Dimensions

Readers on

mendeley
199 Mendeley
citeulike
2 CiteULike
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Title
Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics
Published in
BMC Bioinformatics, November 2012
DOI 10.1186/1471-2105-13-s16-s9
Pubmed ID
Authors

D R Mani, Susan E Abbatiello, Steven A Carr

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
France 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Finland 1 <1%
Unknown 190 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 25%
Researcher 41 21%
Student > Master 23 12%
Student > Bachelor 18 9%
Professor > Associate Professor 13 7%
Other 28 14%
Unknown 26 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 32%
Biochemistry, Genetics and Molecular Biology 40 20%
Chemistry 31 16%
Medicine and Dentistry 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Other 20 10%
Unknown 30 15%
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 11 May 2017.
All research outputs
#7,475,808
of 22,854,458 outputs
Outputs from BMC Bioinformatics
#3,026
of 7,292 outputs
Outputs of similar age
#59,303
of 183,608 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 112 outputs
Altmetric has tracked 22,854,458 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 7,292 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 183,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 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.