You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD
|
|---|---|
| Published in |
BMC Systems Biology, June 2014
|
| DOI | 10.1186/1752-0509-8-78 |
| Pubmed ID | |
| Abstract |
The investigation of complex disease heterogeneity has been challenging. Here, we introduce a network-based approach, using partial correlations, that analyzes the relationships among multiple disease-related phenotypes. |
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 % |
|---|---|---|
| United States | 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 67 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 25% |
| Student > Ph. D. Student | 13 | 18% |
| Professor | 7 | 10% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 5 | 7% |
| Other | 12 | 17% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 23% |
| Computer Science | 12 | 17% |
| Agricultural and Biological Sciences | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Immunology and Microbiology | 2 | 3% |
| Other | 12 | 17% |
| Unknown | 16 | 23% |
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 21 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#163,781
of 227,907 outputs
Outputs of similar age from BMC Systems Biology
#21
of 27 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% 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 227,907 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.