| Title |
Recognition of genetic predisposition in pediatric cancer patients: An easy-to-use selection tool
|
|---|---|
| Published in |
European Journal of Medical Genetics, January 2016
|
| DOI | 10.1016/j.ejmg.2016.01.008 |
| Pubmed ID | |
| Authors |
Marjolijn C.J. Jongmans, Jan L.C.M. Loeffen, Esmé Waanders, Peter M. Hoogerbrugge, Marjolijn J.L. Ligtenberg, Roland P. Kuiper, Nicoline Hoogerbrugge |
| Abstract |
Genetic predisposition for childhood cancer is under diagnosed. Identifying these patients may lead to therapy adjustments in case of syndrome-related increased toxicity or resistant disease and syndrome-specific screening programs may lead to early detection of a further independent malignancy. Cancer surveillance might also be warranted for affected relatives and detection of a genetic mutation can allow for reproductive counseling. Here we present an easy-to-use selection tool, based on a systematic review of pediatric cancer predisposing syndromes, to identify patients who may benefit from genetic counseling. The selection tool involves five questions concerning family history, the type of malignancy, multiple primary malignancies, specific features and excessive toxicity, which results in the selection of those patients that may benefit from referral to a clinical geneticist. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Canada | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 212 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 26 | 12% |
| Student > Ph. D. Student | 25 | 12% |
| Student > Master | 24 | 11% |
| Student > Bachelor | 23 | 11% |
| Researcher | 22 | 10% |
| Other | 40 | 19% |
| Unknown | 52 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 95 | 45% |
| Biochemistry, Genetics and Molecular Biology | 29 | 14% |
| Agricultural and Biological Sciences | 7 | 3% |
| Nursing and Health Professions | 6 | 3% |
| Unspecified | 5 | 2% |
| Other | 11 | 5% |
| Unknown | 59 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 May 2016.
All research outputs
#7,849,331
of 25,374,917 outputs
Outputs from European Journal of Medical Genetics
#192
of 1,078 outputs
Outputs of similar age
#118,339
of 405,873 outputs
Outputs of similar age from European Journal of Medical Genetics
#2
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,078 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 81% of its peers.
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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 has done particularly well, scoring higher than 90% of its contemporaries.