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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of core T cell network based on immunome interactome
|
|---|---|
| Published in |
BMC Systems Biology, February 2014
|
| DOI | 10.1186/1752-0509-8-17 |
| Pubmed ID | |
| Authors |
Gabriel N Teku, Csaba Ortutay, Mauno Vihinen |
| Abstract |
Data-driven studies on the dynamics of reconstructed protein-protein interaction (PPI) networks facilitate investigation and identification of proteins important for particular processes or diseases and reduces time and costs of experimental verification. Modeling the dynamics of very large PPI networks is computationally costly. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 26% |
| Researcher | 7 | 17% |
| Professor > Associate Professor | 5 | 12% |
| Professor | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 33% |
| Medicine and Dentistry | 5 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Mathematics | 4 | 10% |
| Philosophy | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 6 | 14% |
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 26 February 2014.
All research outputs
#14,190,698
of 22,745,803 outputs
Outputs from BMC Systems Biology
#544
of 1,142 outputs
Outputs of similar age
#188,491
of 336,463 outputs
Outputs of similar age from BMC Systems Biology
#20
of 43 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 47th percentile – i.e., 47% 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 336,463 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.