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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential effects of dietary supplements on metabolomic profile of smokers versus non-smokers
|
|---|---|
| Published in |
Genome Medicine, February 2012
|
| DOI | 10.1186/gm313 |
| Pubmed ID | |
| Authors |
Robert C Spitale, Michelle Y Cheng, Kimberly A Chun, Emily S Gorell, Claudia A Munoz, Dale G Kern, Steve M Wood, Helen E Knaggs, Jacob Wulff, Kirk D Beebe, Anne Lynn S Chang |
| Abstract |
Cigarette smoking is well-known to associate with accelerated skin aging as well as cardiovascular disease and lung cancer, in large part due to oxidative stress. Because metabolites are downstream of genetic variation, as well as transcriptional changes and post-translational modifications of proteins, they are the most proximal reporters of disease states or reversal of disease states. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Germany | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Student > Master | 8 | 19% |
| Other | 6 | 14% |
| Researcher | 6 | 14% |
| Professor | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 29% |
| Agricultural and Biological Sciences | 8 | 19% |
| Chemistry | 5 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Nursing and Health Professions | 3 | 7% |
| Other | 2 | 5% |
| Unknown | 9 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 March 2019.
All research outputs
#7,142,322
of 25,654,806 outputs
Outputs from Genome Medicine
#1,142
of 1,605 outputs
Outputs of similar age
#45,036
of 169,643 outputs
Outputs of similar age from Genome Medicine
#15
of 22 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,605 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one is in the 28th percentile – i.e., 28% 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 169,643 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 72% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.