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 |
Insights into the pathogenesis of axial spondyloarthropathy from network and pathway analysis
|
|---|---|
| Published in |
BMC Systems Biology, July 2012
|
| DOI | 10.1186/1752-0509-6-s1-s4 |
| Pubmed ID | |
| Authors |
Jing Zhao, Jie Chen, Ting-Hong Yang, Petter Holme |
| Abstract |
Complex chronic diseases are usually not caused by changes in a single causal gene but by an unbalanced regulating network resulting from the dysfunctions of multiple genes or their products. Therefore, network based systems approach can be helpful for the identification of candidate genes related to complex diseases and their relationships. Axial spondyloarthropathy (SpA) is a group of chronic inflammatory joint diseases that mainly affect the spine and the sacroiliac joints. The pathogenesis of SpA remains largely unknown. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 6% |
| Paraguay | 1 | 6% |
| Unknown | 15 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 12% |
| Student > Doctoral Student | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Postgraduate | 2 | 12% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 35% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Computer Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 December 2013.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from BMC Systems Biology
#556
of 1,132 outputs
Outputs of similar age
#108,939
of 177,877 outputs
Outputs of similar age from BMC Systems Biology
#24
of 46 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 46th percentile – i.e., 46% 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 177,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.