| Title |
SOCIO-ETHICAL ISSUES IN PERSONALIZED MEDICINE: A SYSTEMATIC REVIEW OF ENGLISH LANGUAGE HEALTH TECHNOLOGY ASSESSMENTS OF GENE EXPRESSION PROFILING TESTS FOR BREAST CANCER PROGNOSIS
|
|---|---|
| Published in |
International Journal of Technology Assessment in Health Care, May 2015
|
| DOI | 10.1017/s0266462315000082 |
| Pubmed ID | |
| Authors |
Sarah E. Ali-Khan, Lee Black, Nicole Palmour, Michael T. Hallett, Denise Avard |
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 % |
|---|---|---|
| Canada | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 18% |
| Student > Master | 12 | 14% |
| Student > Bachelor | 8 | 9% |
| Professor | 5 | 6% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 23 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 26% |
| Social Sciences | 8 | 9% |
| Agricultural and Biological Sciences | 7 | 8% |
| Business, Management and Accounting | 4 | 5% |
| Philosophy | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 23 | 27% |
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 28 January 2016.
All research outputs
#16,681,672
of 26,017,215 outputs
Outputs from International Journal of Technology Assessment in Health Care
#1,144
of 1,733 outputs
Outputs of similar age
#154,393
of 283,402 outputs
Outputs of similar age from International Journal of Technology Assessment in Health Care
#14
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,733 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 32nd percentile – i.e., 32% 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 283,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.