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antiCODE: a natural sense-antisense transcripts database

Overview of attention for article published in BMC Bioinformatics, August 2007
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
4 patents

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Title
antiCODE: a natural sense-antisense transcripts database
Published in
BMC Bioinformatics, August 2007
DOI 10.1186/1471-2105-8-319
Pubmed ID
Authors

Yifei Yin, Yi Zhao, Jie Wang, Changning Liu, Shuguang Chen, Runsheng Chen, Haitao Zhao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Netherlands 1 2%
Italy 1 2%
Brazil 1 2%
Canada 1 2%
Belgium 1 2%
Spain 1 2%
United States 1 2%
Unknown 41 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 15 31%
Professor 3 6%
Student > Bachelor 3 6%
Student > Master 3 6%
Other 3 6%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 55%
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 3 6%
Sports and Recreations 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 7 14%
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 14 August 2013.
All research outputs
#7,549,344
of 23,031,582 outputs
Outputs from BMC Bioinformatics
#3,042
of 7,318 outputs
Outputs of similar age
#24,795
of 68,854 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 41 outputs
Altmetric has tracked 23,031,582 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 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 68,854 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 41 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.