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Mendeley readers
Attention Score in Context
| Title |
Construction and analysis of the protein-protein interaction network related to essential hypertension
|
|---|---|
| Published in |
BMC Systems Biology, April 2013
|
| DOI | 10.1186/1752-0509-7-32 |
| Pubmed ID | |
| Authors |
Jihua Ran, Hui Li, Jianfeng Fu, Ling Liu, Yanchao Xing, Xiumei Li, Hongming Shen, Yan Chen, Xiaofang Jiang, Yan Li, Huiwu Li |
| Abstract |
Essential hypertension (EH) is a complex disease as a consequence of interaction between environmental factors and genetic background, but the pathogenesis of EH remains elusive. The emerging tools of network medicine offer a platform to explore a complex disease at system level. In this study, we aimed to identify the key proteins and the biological regulatory pathways involving in EH and further to explore the molecular connectivities between these pathways by the topological analysis of the Protein-protein interaction (PPI) network. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| United States | 2 | 2% |
| India | 1 | 1% |
| Canada | 1 | 1% |
| Turkey | 1 | 1% |
| Unknown | 82 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 14 | 16% |
| Researcher | 12 | 13% |
| Student > Bachelor | 10 | 11% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 14% |
| Unknown | 21 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 29% |
| Biochemistry, Genetics and Molecular Biology | 11 | 12% |
| Computer Science | 11 | 12% |
| Engineering | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Other | 12 | 13% |
| Unknown | 25 | 28% |
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 12 April 2013.
All research outputs
#18,335,133
of 22,705,019 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#150,615
of 198,792 outputs
Outputs of similar age from BMC Systems Biology
#12
of 19 outputs
Altmetric has tracked 22,705,019 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 198,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.