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Mendeley readers
Attention Score in Context
| Title |
MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics
|
|---|---|
| Published in |
BMC Bioinformatics, June 2006
|
| DOI | 10.1186/1471-2105-7-281 |
| Pubmed ID | |
| Authors |
Irena Spasić, Warwick B Dunn, Giles Velarde, Andy Tseng, Helen Jenkins, Nigel Hardy, Stephen G Oliver, Douglas B Kell |
| Abstract |
The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5-6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour of the cell can be observed using large-scale metabolomic studies. The metabolomic data produced need to be structured and annotated in a machine-usable form to facilitate the exploration of the hidden links between the genes and their functions. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Netherlands | 1 | 2% |
| Italy | 1 | 2% |
| Brazil | 1 | 2% |
| Hong Kong | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 46 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 28% |
| Other | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 17 | 31% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 43% |
| Computer Science | 9 | 17% |
| Chemistry | 5 | 9% |
| Engineering | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 01 March 2010.
All research outputs
#5,576,537
of 22,705,019 outputs
Outputs from BMC Bioinformatics
#2,044
of 7,255 outputs
Outputs of similar age
#18,420
of 64,525 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 43 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 64,525 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.