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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms
|
|---|---|
| Published in |
npj Systems Biology and Applications, June 2018
|
| DOI | 10.1038/s41540-018-0059-y |
| Pubmed ID | |
| Authors |
Alexander Mazein, Marek Ostaszewski, Inna Kuperstein, Steven Watterson, Nicolas Le Novère, Diane Lefaudeux, Bertrand De Meulder, Johann Pellet, Irina Balaur, Mansoor Saqi, Maria Manuela Nogueira, Feng He, Andrew Parton, Nathanaël Lemonnier, Piotr Gawron, Stephan Gebel, Pierre Hainaut, Markus Ollert, Ugur Dogrusoz, Emmanuel Barillot, Andrei Zinovyev, Reinhard Schneider, Rudi Balling, Charles Auffray |
| Abstract |
The development of computational approaches in systems biology has reached a state of maturity that allows their transition to systems medicine. Despite this progress, intuitive visualisation and context-dependent knowledge representation still present a major bottleneck. In this paper, we describe the Disease Maps Project, an effort towards a community-driven computationally readable comprehensive representation of disease mechanisms. We outline the key principles and the framework required for the success of this initiative, including use of best practices, standards and protocols. We apply a modular approach to ensure efficient sharing and reuse of resources for projects dedicated to specific diseases. Community-wide use of disease maps will accelerate the conduct of biomedical research and lead to new disease ontologies defined from mechanism-based disease endotypes rather than phenotypes. |
X Demographics
The data shown below were collected from the profiles of 21 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 | 3 | 14% |
| United States | 3 | 14% |
| Luxembourg | 2 | 10% |
| Switzerland | 2 | 10% |
| Germany | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Norway | 1 | 5% |
| Sweden | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 57% |
| Scientists | 8 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 22% |
| Student > Ph. D. Student | 21 | 15% |
| Other | 11 | 8% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 8 | 6% |
| Other | 27 | 20% |
| Unknown | 28 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 32 | 24% |
| Agricultural and Biological Sciences | 20 | 15% |
| Computer Science | 12 | 9% |
| Medicine and Dentistry | 11 | 8% |
| Immunology and Microbiology | 8 | 6% |
| Other | 19 | 14% |
| Unknown | 34 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 2022.
All research outputs
#2,841,191
of 25,784,004 outputs
Outputs from npj Systems Biology and Applications
#75
of 384 outputs
Outputs of similar age
#55,692
of 344,097 outputs
Outputs of similar age from npj Systems Biology and Applications
#4
of 11 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 80% 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 344,097 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 83% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.