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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Personalized Advantage Index: Translating Research on Prediction into Individualized Treatment Recommendations. A Demonstration
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0083875 |
| Pubmed ID | |
| Authors |
Robert J. DeRubeis, Zachary D. Cohen, Nicholas R. Forand, Jay C. Fournier, Lois A. Gelfand, Lorenzo Lorenzo-Luaces |
| Abstract |
Advances in personalized medicine require the identification of variables that predict differential response to treatments as well as the development and refinement of methods to transform predictive information into actionable recommendations. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| United Kingdom | 2 | 20% |
| Germany | 2 | 20% |
| Japan | 1 | 10% |
| Unknown | 1 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 388 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Spain | 2 | <1% |
| United States | 2 | <1% |
| Canada | 1 | <1% |
| Unknown | 381 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 22% |
| Researcher | 53 | 14% |
| Student > Master | 51 | 13% |
| Student > Bachelor | 39 | 10% |
| Other | 21 | 5% |
| Other | 64 | 16% |
| Unknown | 76 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 163 | 42% |
| Medicine and Dentistry | 43 | 11% |
| Neuroscience | 15 | 4% |
| Social Sciences | 11 | 3% |
| Computer Science | 10 | 3% |
| Other | 39 | 10% |
| Unknown | 107 | 28% |
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 08 July 2022.
All research outputs
#822,372
of 25,506,250 outputs
Outputs from PLOS ONE
#10,865
of 222,345 outputs
Outputs of similar age
#8,550
of 319,281 outputs
Outputs of similar age from PLOS ONE
#314
of 5,367 outputs
Altmetric has tracked 25,506,250 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 222,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 95% 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 319,281 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 5,367 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 94% of its contemporaries.