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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Informed decision-making among students analyzing their personal genomes on a whole genome sequencing course: a longitudinal cohort study
|
|---|---|
| Published in |
Genome Medicine, December 2013
|
| DOI | 10.1186/gm518 |
| Pubmed ID | |
| Authors |
Saskia C Sanderson, Michael D Linderman, Andrew Kasarskis, Ali Bashir, George A Diaz, Milind C Mahajan, Hardik Shah, Melissa Wasserstein, Randi E Zinberg, Micol Zweig, Eric E Schadt |
| Abstract |
Multiple laboratories now offer clinical whole genome sequencing (WGS). We anticipate WGS becoming routinely used in research and clinical practice. Many institutions are exploring how best to educate geneticists and other professionals about WGS. Providing students in WGS courses with the option to analyze their own genome sequence is one strategy that might enhance students' engagement and motivation to learn about personal genomics. However, if this option is presented to students, it is vital they make informed decisions, do not feel pressured into analyzing their own genomes by their course directors or peers, and feel free to analyze a third-party genome if they prefer. We therefore developed a 26-hour introductory genomics course in part to help students make informed decisions about whether to receive personal WGS data in a subsequent advanced genomics course. In the advanced course, they had the option to receive their own personal genome data, or an anonymous genome, at no financial cost to them. Our primary aims were to examine whether students made informed decisions regarding analyzing their personal genomes, and whether there was evidence that the introductory course enabled the students to make a more informed decision. |
X Demographics
The data shown below were collected from the profiles of 68 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 | 25 | 37% |
| United Kingdom | 10 | 15% |
| Canada | 5 | 7% |
| France | 5 | 7% |
| Australia | 1 | 1% |
| Germany | 1 | 1% |
| New Zealand | 1 | 1% |
| Colombia | 1 | 1% |
| South Africa | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 14 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 50% |
| Scientists | 31 | 46% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 49 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 15% |
| Student > Bachelor | 7 | 13% |
| Other | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Other | 16 | 30% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 33% |
| Medicine and Dentistry | 12 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Computer Science | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 22 March 2016.
All research outputs
#814,403
of 25,371,288 outputs
Outputs from Genome Medicine
#154
of 1,585 outputs
Outputs of similar age
#8,558
of 319,317 outputs
Outputs of similar age from Genome Medicine
#2
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done particularly well, scoring higher than 90% 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 319,317 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 27 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 92% of its contemporaries.