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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Excerpts from the 1st international NTNU symposium on current and future clinical biomarkers of cancer: innovation and implementation, June 16th and 17th 2016, Trondheim, Norway
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2016
|
| DOI | 10.1186/s12967-016-1059-6 |
| Pubmed ID | |
| Authors |
Ana I. Robles, Karina Standahl Olsen, Dana W.T. Tsui, Vassilis Georgoulias, Jenette Creaney, Katalin Dobra, Mogens Vyberg, Nagahiro Minato, Robert A. Anders, Anne-Lise Børresen-Dale, Jianwei Zhou, Pål Sætrom, Boye Schnack Nielsen, Michaela B. Kirschner, Hans E. Krokan, Vassiliki Papadimitrakopoulou, Ioannis Tsamardinos, Oluf D. Røe |
| Abstract |
The goal of biomarker research is to identify clinically valid markers. Despite decades of research there has been disappointingly few molecules or techniques that are in use today. The "1st International NTNU Symposium on Current and Future Clinical Biomarkers of Cancer: Innovation and Implementation", was held June 16th and 17th 2016, at the Knowledge Center of the St. Olavs Hospital in Trondheim, Norway, under the auspices of the Norwegian University of Science and Technology (NTNU) and the HUNT biobank and research center. The Symposium attracted approximately 100 attendees and invited speakers from 12 countries and 4 continents. In this Symposium original research and overviews on diagnostic, predictive and prognostic cancer biomarkers in serum, plasma, urine, pleural fluid and tumor, circulating tumor cells and bioinformatics as well as how to implement biomarkers in clinical trials were presented. Senior researchers and young investigators presented, reviewed and vividly discussed important new developments in the field of clinical biomarkers of cancer, with the goal of accelerating biomarker research and implementation. The excerpts of this symposium aim to give a cutting-edge overview and insight on some highly important aspects of clinical cancer biomarkers to-date to connect molecular innovation with clinical implementation to eventually improve patient care. |
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Researcher | 5 | 17% |
| Professor | 3 | 10% |
| Other | 3 | 10% |
| Student > Master | 3 | 10% |
| Other | 7 | 24% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 38% |
| Computer Science | 5 | 17% |
| Agricultural and Biological Sciences | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 7 | 24% |
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 19 October 2016.
All research outputs
#20,349,664
of 22,896,955 outputs
Outputs from Journal of Translational Medicine
#3,323
of 4,008 outputs
Outputs of similar age
#273,131
of 315,882 outputs
Outputs of similar age from Journal of Translational Medicine
#69
of 73 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,008 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 1st percentile – i.e., 1% 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 315,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.