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 |
Answering biological questions: querying a systems biology database for nutrigenomics
|
|---|---|
| Published in |
Genes & Nutrition, October 2010
|
| DOI | 10.1007/s12263-010-0190-x |
| Pubmed ID | |
| Authors |
Chris T. Evelo, Kees van Bochove, Jahn-Takeshi Saito |
| Abstract |
The requirement of systems biology for connecting different levels of biological research leads directly to a need for integrating vast amounts of diverse information in general and of omics data in particular. The nutritional phenotype database addresses this challenge for nutrigenomics. A particularly urgent objective in coping with the data avalanche is making biologically meaningful information accessible to the researcher. This contribution describes how we intend to meet this objective with the nutritional phenotype database. We outline relevant parts of the system architecture, describe the kinds of data managed by it, and show how the system can support retrieval of biologically meaningful information by means of ontologies, full-text queries, and structured queries. Our contribution points out critical points, describes several technical hurdles. It demonstrates how pathway analysis can improve queries and comparisons for nutrition studies. Finally, three directions for future research are given. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 9% |
| Switzerland | 1 | 3% |
| Indonesia | 1 | 3% |
| Brazil | 1 | 3% |
| Mexico | 1 | 3% |
| Argentina | 1 | 3% |
| Unknown | 27 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 9% |
| Professor | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Other | 11 | 31% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 57% |
| Medicine and Dentistry | 7 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 3 | 9% |
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 22 April 2010.
All research outputs
#12,846,160
of 22,649,029 outputs
Outputs from Genes & Nutrition
#169
of 386 outputs
Outputs of similar age
#74,736
of 99,158 outputs
Outputs of similar age from Genes & Nutrition
#6
of 7 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 55% 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 99,158 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 7 others from the same source and published within six weeks on either side of this one.