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Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis

Overview of attention for article published in BMC Bioinformatics, May 2007
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Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Title
Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
Published in
BMC Bioinformatics, May 2007
DOI 10.1186/1471-2105-8-164
Pubmed ID
Authors

Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shyen E Chen, Jiun-Ching Chen, Ming-Te Yang, Pan-Chyr Yang, Pei-Chun Chang, Jeremy JW Chen

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 %
United Kingdom 1 3%
India 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Other 7 19%
Professor > Associate Professor 7 19%
Researcher 6 16%
Student > Ph. D. Student 6 16%
Student > Bachelor 3 8%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Engineering 9 24%
Biochemistry, Genetics and Molecular Biology 5 14%
Medicine and Dentistry 4 11%
Computer Science 2 5%
Other 1 3%
Unknown 4 11%
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 02 November 2023.
All research outputs
#8,311,407
of 24,865,967 outputs
Outputs from BMC Bioinformatics
#3,178
of 7,597 outputs
Outputs of similar age
#28,301
of 79,594 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 47 outputs
Altmetric has tracked 24,865,967 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 7,597 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 79,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.