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Attention Score in Context
| Title |
Protein interaction networks as metric spaces: a novel perspective on distribution of hubs
|
|---|---|
| Published in |
BMC Systems Biology, January 2014
|
| DOI | 10.1186/1752-0509-8-6 |
| Pubmed ID | |
| Authors |
Emad Fadhal, Junaid Gamieldien, Eric C Mwambene |
| Abstract |
In the post-genomic era, a central and overarching question in the analysis of protein-protein interaction networks continues to be whether biological characteristics and functions of proteins such as lethality, physiological malfunctions and malignancy are intimately linked to the topological role proteins play in the network as a mathematical structure. One of the key features that have implicitly been presumed is the existence of hubs, highly connected proteins considered to play a crucial role in biological networks. We explore the structure of protein interaction networks of a number of organisms as metric spaces and show that hubs are non randomly positioned and, from a distance point of view, centrally located. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Turkey | 1 | 2% |
| India | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 48 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Researcher | 10 | 19% |
| Student > Master | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Professor | 3 | 6% |
| Other | 12 | 23% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 37% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Computer Science | 5 | 10% |
| Engineering | 3 | 6% |
| Unspecified | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 10 | 19% |
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 18 January 2014.
All research outputs
#18,360,179
of 22,739,983 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#228,110
of 304,982 outputs
Outputs of similar age from BMC Systems Biology
#42
of 58 outputs
Altmetric has tracked 22,739,983 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 304,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.