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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals.
|
|---|---|
| Chapter number | 2 |
| Book title |
Next Generation Microarray Bioinformatics
|
| Published in |
Methods in molecular biology, January 2012
|
| DOI | 10.1007/978-1-61779-400-1_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-399-8, 978-1-61779-400-1
|
| Authors |
Masaaki Kotera, Mika Hirakawa, Toshiaki Tokimatsu, Susumu Goto, Minoru Kanehisa, Kotera, Masaaki, Hirakawa, Mika, Tokimatsu, Toshiaki, Goto, Susumu, Kanehisa, Minoru |
| Abstract |
In this chapter, we demonstrate the usability of the KEGG (Kyoto encyclopedia of genes and genomes) databases and tools, especially focusing on the visualization of the omics data. The desktop application KegArray and many Web-based tools are tightly integrated with the KEGG knowledgebase, which helps visualize and interpret large amount of data derived from high-throughput measurement techniques including microarray, metagenome, and metabolome analyses. Recently developed resources for human disease, drug, and plant research are also mentioned. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Spain | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 67 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 26% |
| Researcher | 15 | 21% |
| Professor > Associate Professor | 5 | 7% |
| Student > Master | 4 | 5% |
| Professor | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 16 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 36% |
| Medicine and Dentistry | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Computer Science | 4 | 5% |
| Engineering | 4 | 5% |
| Other | 7 | 10% |
| Unknown | 16 | 22% |
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 02 December 2011.
All research outputs
#20,152,153
of 22,659,164 outputs
Outputs from Methods in molecular biology
#9,797
of 13,019 outputs
Outputs of similar age
#221,131
of 244,041 outputs
Outputs of similar age from Methods in molecular biology
#423
of 473 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,019 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 244,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.