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Mendeley readers
Attention Score in Context
| Title |
Reconstruction of the experimentally supported human protein interactome: what can we learn?
|
|---|---|
| Published in |
BMC Systems Biology, October 2013
|
| DOI | 10.1186/1752-0509-7-96 |
| Pubmed ID | |
| Authors |
Maria I Klapa, Kalliopi Tsafou, Evangelos Theodoridis, Athanasios Tsakalidis, Nicholas K Moschonas |
| Abstract |
Understanding the topology and dynamics of the human protein-protein interaction (PPI) network will significantly contribute to biomedical research, therefore its systematic reconstruction is required. Several meta-databases integrate source PPI datasets, but the protein node sets of their networks vary depending on the PPI data combined. Due to this inherent heterogeneity, the way in which the human PPI network expands via multiple dataset integration has not been comprehensively analyzed. We aim at assembling the human interactome in a global structured way and exploring it to gain insights of biological relevance. |
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 % |
|---|---|---|
| Greece | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| United Kingdom | 1 | 2% |
| Greece | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 51 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 27% |
| Researcher | 10 | 17% |
| Student > Master | 7 | 12% |
| Other | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 34% |
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Computer Science | 9 | 15% |
| Engineering | 2 | 3% |
| Chemistry | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 10 | 17% |
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 21 October 2017.
All research outputs
#13,903,378
of 23,577,654 outputs
Outputs from BMC Systems Biology
#477
of 1,139 outputs
Outputs of similar age
#111,138
of 209,053 outputs
Outputs of similar age from BMC Systems Biology
#12
of 27 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 has gotten more attention than average, scoring higher than 55% of its peers.
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 209,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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 55% of its contemporaries.