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Automics: an integrated platform for NMR-based metabonomics spectral processing and data analysis

Overview of attention for article published in BMC Bioinformatics, March 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
111 Mendeley
citeulike
3 CiteULike
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Title
Automics: an integrated platform for NMR-based metabonomics spectral processing and data analysis
Published in
BMC Bioinformatics, March 2009
DOI 10.1186/1471-2105-10-83
Pubmed ID
Authors

Tao Wang, Kang Shao, Qinying Chu, Yanfei Ren, Yiming Mu, Lijia Qu, Jie He, Changwen Jin, Bin Xia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 2%
India 2 2%
Chile 1 <1%
Brazil 1 <1%
Canada 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 102 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 27%
Student > Ph. D. Student 19 17%
Student > Master 11 10%
Professor > Associate Professor 10 9%
Student > Bachelor 9 8%
Other 22 20%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 32%
Chemistry 28 25%
Medicine and Dentistry 8 7%
Computer Science 7 6%
Engineering 6 5%
Other 13 12%
Unknown 14 13%
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 12 October 2023.
All research outputs
#8,343,404
of 24,946,857 outputs
Outputs from BMC Bioinformatics
#3,179
of 7,613 outputs
Outputs of similar age
#36,595
of 103,555 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 48 outputs
Altmetric has tracked 24,946,857 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 7,613 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 103,555 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 48 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.