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Improving prediction accuracy of tumor classification by reusing genes discarded during gene selection

Overview of attention for article published in BMC Genomics, March 2008
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Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
17 Mendeley
citeulike
1 CiteULike
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Title
Improving prediction accuracy of tumor classification by reusing genes discarded during gene selection
Published in
BMC Genomics, March 2008
DOI 10.1186/1471-2164-9-s1-s3
Pubmed ID
Authors

Jack Y Yang, Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Youping Deng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 41%
Student > Ph. D. Student 4 24%
Student > Master 2 12%
Student > Bachelor 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Medicine and Dentistry 5 29%
Biochemistry, Genetics and Molecular Biology 3 18%
Computer Science 3 18%
Agricultural and Biological Sciences 2 12%
Business, Management and Accounting 1 6%
Other 2 12%
Unknown 1 6%
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 2023.
All research outputs
#8,336,982
of 24,929,945 outputs
Outputs from BMC Genomics
#3,849
of 11,111 outputs
Outputs of similar age
#32,178
of 92,126 outputs
Outputs of similar age from BMC Genomics
#10
of 24 outputs
Altmetric has tracked 24,929,945 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 11,111 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 92,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.