Title |
Validated inference of smoking habits from blood with a finite DNA methylation marker set
|
---|---|
Published in |
European Journal of Epidemiology, September 2019
|
DOI | 10.1007/s10654-019-00555-w |
Pubmed ID | |
Authors |
Silvana C. E. Maas, Athina Vidaki, Rory Wilson, Alexander Teumer, Fan Liu, Joyce B. J. van Meurs, André G. Uitterlinden, Dorret I. Boomsma, Eco J. C. de Geus, Gonneke Willemsen, Jenny van Dongen, Carla J. H. van der Kallen, P. Eline Slagboom, Marian Beekman, Diana van Heemst, Leonard H. van den Berg, Liesbeth Duijts, Vincent W. V. Jaddoe, Karl-Heinz Ladwig, Sonja Kunze, Annette Peters, M. Arfan Ikram, Hans J. Grabe, Janine F. Felix, Melanie Waldenberger, Oscar H. Franco, Mohsen Ghanbari, Manfred Kayser |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 19% |
Student > Ph. D. Student | 10 | 14% |
Student > Doctoral Student | 5 | 7% |
Student > Bachelor | 3 | 4% |
Other | 3 | 4% |
Other | 11 | 16% |
Unknown | 24 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 23% |
Medicine and Dentistry | 6 | 9% |
Psychology | 5 | 7% |
Computer Science | 3 | 4% |
Engineering | 3 | 4% |
Other | 8 | 12% |
Unknown | 28 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2020.
All research outputs
#15,051,706
of 23,155,957 outputs
Outputs from European Journal of Epidemiology
#1,308
of 1,645 outputs
Outputs of similar age
#199,812
of 341,020 outputs
Outputs of similar age from European Journal of Epidemiology
#20
of 24 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,645 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one is in the 18th percentile – i.e., 18% 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 341,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.