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X Demographics
Mendeley readers
Attention Score in Context
Title |
Classification of microarrays; synergistic effects between normalization, gene selection and machine learning
|
---|---|
Published in |
BMC Bioinformatics, October 2011
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DOI | 10.1186/1471-2105-12-390 |
Pubmed ID | |
Authors |
Jenny Önskog, Eva Freyhult, Mattias Landfors, Patrik Rydén, Torgeir R Hvidsten |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Turkey | 1 | 1% |
Malaysia | 1 | 1% |
France | 1 | 1% |
Norway | 1 | 1% |
Italy | 1 | 1% |
South Africa | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 67 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 29% |
Student > Ph. D. Student | 14 | 19% |
Student > Master | 7 | 9% |
Student > Bachelor | 6 | 8% |
Professor > Associate Professor | 5 | 7% |
Other | 11 | 15% |
Unknown | 10 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 27% |
Computer Science | 16 | 21% |
Medicine and Dentistry | 7 | 9% |
Engineering | 7 | 9% |
Biochemistry, Genetics and Molecular Biology | 5 | 7% |
Other | 6 | 8% |
Unknown | 14 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 December 2016.
All research outputs
#14,289,166
of 22,912,409 outputs
Outputs from BMC Bioinformatics
#4,748
of 7,305 outputs
Outputs of similar age
#89,296
of 136,045 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 85 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 136,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.