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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving public cancer care by implementing precision medicine in Norway: IMPRESS-Norway
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2022
|
| DOI | 10.1186/s12967-022-03432-5 |
| Pubmed ID | |
| Authors |
Åslaug Helland, Hege G. Russnes, Gro Live Fagereng, Khalid Al-Shibli, Yvonne Andersson, Thomas Berg, Line Bjørge, Egil Blix, Bodil Bjerkehagen, Sigmund Brabrand, Marte Grønlie Cameron, Astrid Dalhaug, Dalia Dietzel, Tom Dønnem, Espen Enerly, Åsmund Flobak, Sverre Fluge, Bjørnar Gilje, Bjørn Tore Gjertsen, Bjørn Henning Grønberg, Kari Grønås, Tormod Guren, Hanne Hamre, Åse Haug, Daniel Heinrich, Geir Olav Hjortland, Eivind Hovig, Randi Hovland, Ann-Charlotte Iversen, Emiel Janssen, Jon Amund Kyte, Hedda von der Lippe Gythfeldt, Ragnhild Lothe, Jo-Åsmund Lund, Leonardo Meza-Zepeda, Monica Cheng Munthe-Kaas, Olav Toai Duc Nguyen, Pitt Niehusmann, Hilde Nilsen, Katarina Puco, Anne Hansen Ree, Tonje Bøyum Riste, Karin Semb, Eli Sihn Samdal Steinskog, Andreas Stensvold, Pål Suhrke, Øyvind Tennøe, Geir E. Tjønnfjord, Liv Jorunn Vassbotn, Eline Aas, Kristine Aasebø, Kjetil Tasken, Sigbjørn Smeland |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 7 | 64% |
| Finland | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Bachelor | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 33% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 1 | 4% |
| Linguistics | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 44% |
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 16 May 2022.
All research outputs
#3,602,897
of 25,085,910 outputs
Outputs from Journal of Translational Medicine
#641
of 4,548 outputs
Outputs of similar age
#76,868
of 435,485 outputs
Outputs of similar age from Journal of Translational Medicine
#11
of 116 outputs
Altmetric has tracked 25,085,910 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,548 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 85% 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 435,485 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 82% of its contemporaries.
We're also able to compare this research output to 116 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 91% of its contemporaries.