| Title |
Tobacco Smoke Exposure and the Risk of Childhood Acute Lymphoblastic and Myeloid Leukemias by Cytogenetic Subtype
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, September 2013
|
| DOI | 10.1158/1055-9965.epi-13-0350 |
| Pubmed ID | |
| Authors |
Catherine Metayer, Luoping Zhang, Joseph L. Wiemels, Karen Bartley, Joshua Schiffman, Xiaomei Ma, Melinda C. Aldrich, Jeffrey S. Chang, Steve Selvin, Cecilia H. Fu, Jonathan Ducore, Martyn T. Smith, Patricia A. Buffler |
| Abstract |
Tobacco smoke contains carcinogens known to damage somatic and germ cells. We investigated the effect of tobacco smoke on the risk of childhood acute lymphoblastic leukemia (ALL) and myeloid leukemia (AML), especially subtypes of prenatal origin such as ALL with translocation t(12;21) or high-hyperdiploidy (51-67 chromosomes). |
X Demographics
The data shown below were collected from the profiles of 2 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 16% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 10 | 13% |
| Other | 10 | 13% |
| Student > Master | 10 | 13% |
| Other | 10 | 13% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 40% |
| Social Sciences | 8 | 10% |
| Nursing and Health Professions | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Chemistry | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 28 May 2021.
All research outputs
#2,523,902
of 25,774,185 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#741
of 4,869 outputs
Outputs of similar age
#21,138
of 209,997 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#10
of 50 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,869 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done well, scoring higher than 84% 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 209,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.