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Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect

Overview of attention for article published in BMC Bioinformatics, April 2003
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Mentioned by

patent
1 patent

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect
Published in
BMC Bioinformatics, April 2003
DOI 10.1186/1471-2105-4-13
Pubmed ID
Authors

Michael C O'Neill, Li Song

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
France 1 1%
India 1 1%
Brazil 1 1%
Argentina 1 1%
United Kingdom 1 1%
Unknown 60 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Researcher 9 13%
Student > Master 8 12%
Student > Doctoral Student 5 7%
Professor > Associate Professor 5 7%
Other 17 25%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 25%
Computer Science 12 18%
Medicine and Dentistry 9 13%
Engineering 7 10%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 9 13%
Unknown 10 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 April 2013.
All research outputs
#8,515,019
of 25,380,192 outputs
Outputs from BMC Bioinformatics
#3,225
of 7,684 outputs
Outputs of similar age
#20,707
of 62,954 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,380,192 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,684 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 62,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them