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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating systems biology models and biomedical ontologies
|
|---|---|
| Published in |
BMC Systems Biology, August 2011
|
| DOI | 10.1186/1752-0509-5-124 |
| Pubmed ID | |
| Authors |
Robert Hoehndorf, Michel Dumontier, John H Gennari, Sarala Wimalaratne, Bernard de Bono, Daniel L Cook, Georgios V Gkoutos |
| Abstract |
Systems biology is an approach to biology that emphasizes the structure and dynamic behavior of biological systems and the interactions that occur within them. To succeed, systems biology crucially depends on the accessibility and integration of data across domains and levels of granularity. Biomedical ontologies were developed to facilitate such an integration of data and are often used to annotate biosimulation models in systems biology. |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 3 | 43% |
| Japan | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 8% |
| Germany | 4 | 3% |
| United Kingdom | 3 | 3% |
| Belgium | 2 | 2% |
| Norway | 1 | <1% |
| Switzerland | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 92 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 38% |
| Student > Ph. D. Student | 18 | 15% |
| Other | 10 | 8% |
| Student > Master | 10 | 8% |
| Student > Bachelor | 8 | 7% |
| Other | 22 | 18% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 32% |
| Computer Science | 28 | 24% |
| Engineering | 13 | 11% |
| Biochemistry, Genetics and Molecular Biology | 10 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 14 | 12% |
| Unknown | 12 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 21 February 2019.
All research outputs
#1,831,759
of 25,371,288 outputs
Outputs from BMC Systems Biology
#28
of 1,132 outputs
Outputs of similar age
#8,292
of 131,745 outputs
Outputs of similar age from BMC Systems Biology
#1
of 43 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 131,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 43 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 97% of its contemporaries.