| Title |
Privacy-preserving genomic testing in the clinic: a model using HIV treatment
|
|---|---|
| Published in |
Genetics in Medicine, January 2016
|
| DOI | 10.1038/gim.2015.167 |
| Pubmed ID | |
| Authors |
Paul J. McLaren, Jean Louis Raisaro, Manel Aouri, Margalida Rotger, Erman Ayday, István Bartha, Maria B. Delgado, Yannick Vallet, Huldrych F. Günthard, Matthias Cavassini, Hansjakob Furrer, Thanh Doco-Lecompte, Catia Marzolini, Patrick Schmid, Caroline Di Benedetto, Laurent A. Decosterd, Jacques Fellay, Jean-Pierre Hubaux, Amalio Telenti |
X Demographics
The data shown below were collected from the profiles of 21 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 | 7 | 33% |
| Spain | 2 | 10% |
| Switzerland | 2 | 10% |
| India | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Scientists | 6 | 29% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Unknown | 63 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 24% |
| Student > Master | 13 | 20% |
| Researcher | 10 | 15% |
| Student > Bachelor | 6 | 9% |
| Professor > Associate Professor | 6 | 9% |
| Other | 6 | 9% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 21% |
| Medicine and Dentistry | 12 | 18% |
| Agricultural and Biological Sciences | 9 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Nursing and Health Professions | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 14 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 02 April 2016.
All research outputs
#1,611,509
of 25,998,826 outputs
Outputs from Genetics in Medicine
#533
of 2,978 outputs
Outputs of similar age
#27,327
of 408,222 outputs
Outputs of similar age from Genetics in Medicine
#11
of 62 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done well, scoring higher than 82% 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 408,222 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 93% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.