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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing excellence in translational cancer research: a consensus based framework
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2013
|
| DOI | 10.1186/1479-5876-11-274 |
| Pubmed ID | |
| Authors |
Abinaya Rajan, Carlos Caldas, Henri van Luenen, Mahasti Saghatchian, Wim H van Harten |
| Abstract |
It takes several years on average to translate basic research findings into clinical research and eventually deliver patient benefits. An expert-based excellence assessment can help improve this process by: identifying high performing Comprehensive Cancer Centres; best practices in translational cancer research; improving the quality and efficiency of the translational cancer research process. This can help build networks of excellent Centres by aiding focused partnerships. In this paper we report on a consensus building exercise that was undertaken to construct an excellence assessment framework for translational cancer research in Europe. |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 2 | 25% |
| United States | 1 | 13% |
| France | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 6% |
| Spain | 2 | 4% |
| Romania | 1 | 2% |
| Unknown | 42 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Researcher | 8 | 17% |
| Student > Bachelor | 6 | 13% |
| Librarian | 4 | 8% |
| Other | 3 | 6% |
| Other | 9 | 19% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 23% |
| Agricultural and Biological Sciences | 6 | 13% |
| Social Sciences | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 11 | 23% |
| Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 February 2014.
All research outputs
#6,214,143
of 22,727,570 outputs
Outputs from Journal of Translational Medicine
#940
of 3,974 outputs
Outputs of similar age
#57,399
of 212,671 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 72 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,974 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 76% 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 212,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.