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Mendeley readers
Attention Score in Context
| Title |
Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis
|
|---|---|
| Published in |
BMC Systems Biology, February 2007
|
| DOI | 10.1186/1752-0509-1-12 |
| Pubmed ID | |
| Authors |
Laxman Yetukuri, Mikko Katajamaa, Gema Medina-Gomez, Tuulikki Seppänen-Laakso, Antonio Vidal-Puig, Matej Orešič |
| Abstract |
Lipids are an important and highly diverse class of molecules having structural, energy storage and signaling roles. Modern analytical technologies afford screening of many lipid molecular species in parallel. One of the biggest challenges of lipidomics is elucidation of important pathobiological phenomena from the integration of the large amounts of new data becoming available. |
Mendeley readers
The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Germany | 2 | <1% |
| Netherlands | 2 | <1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| Finland | 1 | <1% |
| Switzerland | 1 | <1% |
| Spain | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 223 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 66 | 28% |
| Student > Ph. D. Student | 54 | 23% |
| Student > Master | 27 | 11% |
| Student > Bachelor | 15 | 6% |
| Student > Doctoral Student | 10 | 4% |
| Other | 37 | 15% |
| Unknown | 30 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 88 | 37% |
| Biochemistry, Genetics and Molecular Biology | 31 | 13% |
| Chemistry | 23 | 10% |
| Medicine and Dentistry | 19 | 8% |
| Computer Science | 11 | 5% |
| Other | 27 | 11% |
| Unknown | 40 | 17% |
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 20 May 2011.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#48,698
of 174,859 outputs
Outputs of similar age from BMC Systems Biology
#6
of 7 outputs
Altmetric has tracked 22,783,848 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 174,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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.