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Attention Score in Context
Title |
Modelling human protein interaction networks as metric spaces has potential in disease research and drug target discovery
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Published in |
BMC Systems Biology, June 2014
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DOI | 10.1186/1752-0509-8-68 |
Pubmed ID | |
Authors |
Emad Fadhal, Eric C Mwambene, Junaid Gamieldien |
Abstract |
We have recently shown by formally modelling human protein interaction networks (PINs) as metric spaces and classified proteins into zones based on their distance from the topological centre that hub proteins are primarily centrally located. We also showed that zones closest to the network centre are enriched for critically important proteins and are also functionally very specialised for specific 'house keeping' functions. We proposed that proteins closest to the network centre may present good therapeutic targets. Here, we present multiple pieces of novel functional evidence that provides strong support for this hypothesis. |
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 % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 33 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 20% |
Researcher | 7 | 20% |
Student > Postgraduate | 3 | 9% |
Professor > Associate Professor | 3 | 9% |
Student > Master | 3 | 9% |
Other | 8 | 23% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 23% |
Medicine and Dentistry | 5 | 14% |
Agricultural and Biological Sciences | 4 | 11% |
Chemistry | 4 | 11% |
Mathematics | 2 | 6% |
Other | 6 | 17% |
Unknown | 6 | 17% |
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 30 September 2014.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from BMC Systems Biology
#644
of 1,139 outputs
Outputs of similar age
#135,424
of 229,994 outputs
Outputs of similar age from BMC Systems Biology
#12
of 26 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 229,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.