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Multiplex Amplicon Quantification (MAQ), a fast and efficient method for the simultaneous detection of copy number alterations in neuroblastoma

Overview of attention for article published in BMC Genomics, May 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
1 CiteULike
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Title
Multiplex Amplicon Quantification (MAQ), a fast and efficient method for the simultaneous detection of copy number alterations in neuroblastoma
Published in
BMC Genomics, May 2010
DOI 10.1186/1471-2164-11-298
Pubmed ID
Authors

Candy Kumps, Nadine Van Roy, Lien Heyrman, Dirk Goossens, Jurgen Del-Favero, Rosa Noguera, Jo Vandesompele, Frank Speleman, Katleen De Preter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 3 8%
United Kingdom 3 8%
Australia 1 3%
Netherlands 1 3%
Chile 1 3%
Sweden 1 3%
Unknown 27 73%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 30%
Researcher 11 30%
Professor 3 8%
Student > Master 3 8%
Student > Bachelor 1 3%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 54%
Biochemistry, Genetics and Molecular Biology 5 14%
Neuroscience 2 5%
Business, Management and Accounting 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 14%
Unknown 3 8%
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 28 March 2013.
All research outputs
#7,482,726
of 22,873,031 outputs
Outputs from BMC Genomics
#3,610
of 10,664 outputs
Outputs of similar age
#34,324
of 95,229 outputs
Outputs of similar age from BMC Genomics
#16
of 46 outputs
Altmetric has tracked 22,873,031 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 10,664 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 95,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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.