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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Primary Vitamin D Target Genes Allow a Categorization of Possible Benefits of Vitamin D3 Supplementation
|
|---|---|
| Published in |
PLOS ONE, July 2013
|
| DOI | 10.1371/journal.pone.0071042 |
| Pubmed ID | |
| Authors |
Carsten Carlberg, Sabine Seuter, Vanessa D. F. de Mello, Ursula Schwab, Sari Voutilainen, Kari Pulkki, Tarja Nurmi, Jyrki Virtanen, Tomi-Pekka Tuomainen, Matti Uusitupa |
| Abstract |
Vitamin D deficiency has been associated with an increased risk of developing a number of diseases. Here we investigated samples from 71 pre-diabetic individuals of the VitDmet study, a 5-month high dose vitamin D3 intervention trial during Finnish winter, for their changes in serum 25-hydroxyvitamin D3 (25(OH)D3) concentrations and the expression of primary vitamin D target genes in peripheral blood mononuclear cells and adipose tissue. A negative correlation between serum concentrations of parathyroid hormone and 25(OH)D3 suggested an overall normal physiological vitamin D response among the participants. The genes CD14 and thrombomodulin (THBD) are up-regulated primary vitamin D targets and showed to be suitable gene expression markers for vitamin D signaling in both primary tissues. However, in a ranking of the samples concerning their expected response to vitamin D only the top half showed a positive correlation between the changes of CD14 or THBD mRNA and serum 25(OH)D3 concentrations. Interestingly, this categorization allows unmasking a negative correlation between changes in serum concentrations of 25(OH)D3 and the inflammation marker interleukin 6. We propose the genes CD14 and THBD as transcriptomic biomarkers, from which the effects of a vitamin D3 supplementation can be evaluated. These biomarkers allow the classification of subjects into those, who might benefit from a vitamin D3 supplementation, and others who do not. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Finland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| Peru | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 93 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 15% |
| Student > Bachelor | 14 | 15% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 11 | 11% |
| Other | 9 | 9% |
| Other | 22 | 23% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 29% |
| Agricultural and Biological Sciences | 15 | 16% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Nursing and Health Professions | 4 | 4% |
| Immunology and Microbiology | 2 | 2% |
| Other | 13 | 14% |
| Unknown | 21 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 05 October 2021.
All research outputs
#624,901
of 23,486,774 outputs
Outputs from PLOS ONE
#8,699
of 201,024 outputs
Outputs of similar age
#5,131
of 199,889 outputs
Outputs of similar age from PLOS ONE
#246
of 4,912 outputs
Altmetric has tracked 23,486,774 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 95% 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 199,889 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 97% of its contemporaries.
We're also able to compare this research output to 4,912 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.