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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating the NIH Efficient Frontier
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0034569 |
| Pubmed ID | |
| Authors |
Dimitrios Bisias, Andrew W. Lo, James F. Watkins |
| Abstract |
The National Institutes of Health (NIH) is among the world's largest investors in biomedical research, with a mandate to: "…lengthen life, and reduce the burdens of illness and disability." Its funding decisions have been criticized as insufficiently focused on disease burden. We hypothesize that modern portfolio theory can create a closer link between basic research and outcome, and offer insight into basic-science related improvements in public health. We propose portfolio theory as a systematic framework for making biomedical funding allocation decisions-one that is directly tied to the risk/reward trade-off of burden-of-disease outcomes. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 58% |
| Canada | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Netherlands | 1 | 2% |
| China | 1 | 2% |
| Unknown | 40 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 25% |
| Other | 7 | 16% |
| Student > Bachelor | 6 | 14% |
| Researcher | 5 | 11% |
| Professor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 7 | 16% |
| Economics, Econometrics and Finance | 6 | 14% |
| Social Sciences | 6 | 14% |
| Medicine and Dentistry | 6 | 14% |
| Agricultural and Biological Sciences | 5 | 11% |
| Other | 8 | 18% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 May 2014.
All research outputs
#2,919,138
of 22,664,644 outputs
Outputs from PLOS ONE
#38,780
of 193,509 outputs
Outputs of similar age
#19,622
of 163,461 outputs
Outputs of similar age from PLOS ONE
#643
of 3,689 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 79% 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 163,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 3,689 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.