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Mendeley readers
Attention Score in Context
Title |
3Omics: a web-based systems biology tool for analysis, integration and visualization of human transcriptomic, proteomic and metabolomic data
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Published in |
BMC Systems Biology, July 2013
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DOI | 10.1186/1752-0509-7-64 |
Pubmed ID | |
Authors |
Tien-Chueh Kuo, Tze-Feng Tian, Yufeng Jane Tseng |
Abstract |
Integrative and comparative analyses of multiple transcriptomics, proteomics and metabolomics datasets require an intensive knowledge of tools and background concepts. Thus, it is challenging for users to perform such analyses, highlighting the need for a single tool for such purposes. The 3Omics one-click web tool was developed to visualize and rapidly integrate multiple human inter- or intra-transcriptomic, proteomic, and metabolomic data by combining five commonly used analyses: correlation networking, coexpression, phenotyping, pathway enrichment, and GO (Gene Ontology) enrichment. |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 403 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 1% |
Brazil | 3 | <1% |
United Kingdom | 3 | <1% |
Switzerland | 2 | <1% |
Sweden | 2 | <1% |
France | 1 | <1% |
South Africa | 1 | <1% |
India | 1 | <1% |
Colombia | 1 | <1% |
Other | 4 | <1% |
Unknown | 380 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 97 | 24% |
Student > Ph. D. Student | 93 | 23% |
Student > Master | 48 | 12% |
Other | 24 | 6% |
Student > Bachelor | 20 | 5% |
Other | 62 | 15% |
Unknown | 59 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 121 | 30% |
Biochemistry, Genetics and Molecular Biology | 74 | 18% |
Computer Science | 42 | 10% |
Medicine and Dentistry | 28 | 7% |
Engineering | 12 | 3% |
Other | 47 | 12% |
Unknown | 79 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 July 2013.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Systems Biology
#771
of 1,126 outputs
Outputs of similar age
#144,896
of 200,760 outputs
Outputs of similar age from BMC Systems Biology
#10
of 22 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 27th percentile – i.e., 27% 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 200,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.