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Mendeley readers
Attention Score in Context
| Title |
A Systems Biology Strategy Reveals Biological Pathways and Plasma Biomarker Candidates for Potentially Toxic Statin-Induced Changes in Muscle
|
|---|---|
| Published in |
PLOS ONE, December 2006
|
| DOI | 10.1371/journal.pone.0000097 |
| Pubmed ID | |
| Authors |
Reijo Laaksonen, Mikko Katajamaa, Hannu Päivä, Marko Sysi-Aho, Lilli Saarinen, Päivi Junni, Dieter Lütjohann, Joél Smet, Rudy Van Coster, Tuulikki Seppänen-Laakso, Terho Lehtimäki, Juhani Soini, Matej Orešič |
| Abstract |
Aggressive lipid lowering with high doses of statins increases the risk of statin-induced myopathy. However, the cellular mechanisms leading to muscle damage are not known and sensitive biomarkers are needed to identify patients at risk of developing statin-induced serious side effects. |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| United Kingdom | 3 | 2% |
| Colombia | 1 | <1% |
| Netherlands | 1 | <1% |
| Austria | 1 | <1% |
| Finland | 1 | <1% |
| Germany | 1 | <1% |
| Singapore | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 152 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 51 | 30% |
| Student > Ph. D. Student | 29 | 17% |
| Student > Bachelor | 14 | 8% |
| Professor | 13 | 8% |
| Other | 11 | 6% |
| Other | 32 | 19% |
| Unknown | 20 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 35% |
| Medicine and Dentistry | 25 | 15% |
| Chemistry | 19 | 11% |
| Biochemistry, Genetics and Molecular Biology | 16 | 9% |
| Computer Science | 8 | 5% |
| Other | 17 | 10% |
| Unknown | 25 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 27 January 2016.
All research outputs
#2,674,592
of 22,707,247 outputs
Outputs from PLOS ONE
#34,204
of 193,889 outputs
Outputs of similar age
#10,105
of 156,137 outputs
Outputs of similar age from PLOS ONE
#37
of 127 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 82% 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 156,137 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 127 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 70% of its contemporaries.