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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementing systems medicine within healthcare
|
|---|---|
| Published in |
Genome Medicine, September 2015
|
| DOI | 10.1186/s13073-015-0224-5 |
| Pubmed ID | |
| Authors |
Marc Kirschner, Angela Bauch, Alvar Agusti, Sebastian Hilke, Sibylle Merk, Christophe Pison, Jim Roldan, Bernard Seidenath, Michael Wilken, Emiel F. Wouters, Hans-Werner Mewes, Klaus Heumann, Dieter Maier |
| Abstract |
The cause of a complex disease cannot be pinpointed to a single origin; rather, a highly complex network of many factors that interact on different levels over time and space is disturbed. This complexity requires novel approaches to diagnosis, treatment, and prevention. To foster the necessary shift to a pro-active systems medicine, proof-of-concept studies are needed. Here, we highlight several systems approaches that have been shown to work within the field of respiratory medicine, and we propose the next steps for broader implementation. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 5% |
| United States | 1 | 3% |
| Nigeria | 1 | 3% |
| Portugal | 1 | 3% |
| Unknown | 32 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 30% |
| Student > Master | 5 | 14% |
| Other | 5 | 14% |
| Professor | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 32% |
| Agricultural and Biological Sciences | 6 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Computer Science | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 6 | 16% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 January 2017.
All research outputs
#12,742,596
of 22,829,083 outputs
Outputs from Genome Medicine
#1,181
of 1,442 outputs
Outputs of similar age
#118,824
of 274,379 outputs
Outputs of similar age from Genome Medicine
#21
of 25 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 17th percentile – i.e., 17% 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 274,379 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 56% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.