You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
KaPPA-View4: a metabolic pathway database for representation and analysis of correlation networks of gene co-expression and metabolite co-accumulation and omics data
|
|---|---|
| Published in |
Nucleic Acids Research, November 2010
|
| DOI | 10.1093/nar/gkq989 |
| Pubmed ID | |
| Authors |
Nozomu Sakurai, Takeshi Ara, Yoshiyuki Ogata, Ryosuke Sano, Takashi Ohno, Kenjiro Sugiyama, Atsushi Hiruta, Kiyoshi Yamazaki, Kentaro Yano, Koh Aoki, Asaph Aharoni, Kazuki Hamada, Koji Yokoyama, Shingo Kawamura, Hirofumi Otsuka, Toshiaki Tokimatsu, Minoru Kanehisa, Hideyuki Suzuki, Kazuki Saito, Daisuke Shibata |
| Abstract |
Correlations of gene-to-gene co-expression and metabolite-to-metabolite co-accumulation calculated from large amounts of transcriptome and metabolome data are useful for uncovering unknown functions of genes, functional diversities of gene family members and regulatory mechanisms of metabolic pathway flows. Many databases and tools are available to interpret quantitative transcriptome and metabolome data, but there are only limited ones that connect correlation data to biological knowledge and can be utilized to find biological significance of it. We report here a new metabolic pathway database, KaPPA-View4 (http://kpv.kazusa.or.jp/kpv4/), which is able to overlay gene-to-gene and/or metabolite-to-metabolite relationships as curves on a metabolic pathway map, or on a combination of up to four maps. This representation would help to discover, for example, novel functions of a transcription factor that regulates genes on a metabolic pathway. Pathway maps of the Kyoto Encyclopedia of Genes and Genomes (KEGG) and maps generated from their gene classifications are available at KaPPA-View4 KEGG version (http://kpv.kazusa.or.jp/kpv4-kegg/). At present, gene co-expression data from the databases ATTED-II, COXPRESdb, CoP and MiBASE for human, mouse, rat, Arabidopsis, rice, tomato and other plants are available. |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Netherlands | 1 | 1% |
| Colombia | 1 | 1% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| Finland | 1 | 1% |
| India | 1 | 1% |
| Singapore | 1 | 1% |
| Mexico | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 77 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 31% |
| Student > Ph. D. Student | 25 | 28% |
| Professor | 5 | 6% |
| Professor > Associate Professor | 5 | 6% |
| Student > Master | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 61% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Computer Science | 4 | 4% |
| Arts and Humanities | 2 | 2% |
| Chemistry | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 13 | 14% |
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 30 April 2011.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Nucleic Acids Research
#12,416
of 26,310 outputs
Outputs of similar age
#53,788
of 179,701 outputs
Outputs of similar age from Nucleic Acids Research
#102
of 243 outputs
Altmetric has tracked 22,790,780 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 26,310 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 24th percentile – i.e., 24% 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 179,701 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.