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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Continued importance in translation from research to health policy in China
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2016
|
| DOI | 10.1186/s12967-016-1021-7 |
| Pubmed ID | |
| Authors |
Jun Zhang, Fan Jiang, Xiaoming Shen |
| Abstract |
Precision Medicine may be considered as another strategic effort of "from-bench-to-beside" translation. In order to have a maximal impact on population health, the translation must go further. A new translational medicine paradigm is proposed to improve the clarity of conceptual pathways and facilitate translation from research to health policy. The latter is particularly important in low- and middle-income countries where the need to improve population health is immediate and immense. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Master | 4 | 17% |
| Other | 2 | 9% |
| Lecturer | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Nursing and Health Professions | 3 | 13% |
| Social Sciences | 3 | 13% |
| Economics, Econometrics and Finance | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 September 2016.
All research outputs
#15,384,989
of 22,889,074 outputs
Outputs from Journal of Translational Medicine
#2,239
of 4,004 outputs
Outputs of similar age
#202,378
of 320,232 outputs
Outputs of similar age from Journal of Translational Medicine
#42
of 68 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% 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 320,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.