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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Causes of variation in the neutrophillymphocyte and plateletlymphocyte ratios: a twin-family study
|
|---|---|
| Published in |
Biomarkers in Medicine, October 2016
|
| DOI | 10.2217/bmm-2016-0147 |
| Pubmed ID | |
| Authors |
Bochao D Lin, Jouke-Jan Hottenga, Abdel Abdellaoui, Conor V Dolan, Eco J C de Geus, Cornelis Kluft, Dorret I Boomsma, Gonneke Willemsen |
| Abstract |
Neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) are biomarkers for disease development, for whom little is known about causes of variation in the general population. We estimated the heritability of PLR and NLR and examined their association with gender, demographic, lifestyle and environmental factors in a Dutch nonpatient twin family population (n = 8108). Heritability was estimated at 64% for PLR and 36% for NLR. Men had on average higher NLR, but lower PLR levels than women. PLR and NLR increased significantly with age, decreased in colder months and showed small but significant sex- and age-specific associations with body composition and smoking. NLR and PLR levels are heritable and influenced by age, sex and environmental factors, such as seasonal conditions and lifestyle. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 19% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Master | 5 | 7% |
| Researcher | 5 | 7% |
| Other | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 27 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 31% |
| Nursing and Health Professions | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 31 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 October 2016.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Biomarkers in Medicine
#499
of 735 outputs
Outputs of similar age
#254,424
of 329,203 outputs
Outputs of similar age from Biomarkers in Medicine
#18
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 735 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.