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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Why network approach can promote a new way of thinking in biology
|
|---|---|
| Published in |
Frontiers in Genetics, April 2014
|
| DOI | 10.3389/fgene.2014.00083 |
| Pubmed ID | |
| Authors |
Alessandro Giuliani, Simonetta Filippi, Marta Bertolaso |
| Abstract |
This work deals with the particular nature of network-based approach in biology. We will comment about the shift from the consideration of the molecular layer as the definitive place where causative process start to the elucidation of the among elements (at any level of biological organization they are located) interaction network as the main goal of scientific explanation. This shift comes from the intrinsic nature of networks where the properties of a specific node are determined by its position in the entire network (top-down explanation) while the global network characteristics emerge from the nodes wiring pattern (bottom-up explanation). This promotes a "middle-out" paradigm formally identical to the time honored chemical thought holding big promises in the study of biological regulation. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 61 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Student > Master | 10 | 15% |
| Student > Ph. D. Student | 9 | 14% |
| Professor | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Other | 14 | 21% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 29% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Computer Science | 4 | 6% |
| Engineering | 4 | 6% |
| Medicine and Dentistry | 3 | 5% |
| Other | 14 | 21% |
| Unknown | 11 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 April 2014.
All research outputs
#12,704,903
of 22,753,345 outputs
Outputs from Frontiers in Genetics
#2,563
of 11,758 outputs
Outputs of similar age
#105,412
of 228,038 outputs
Outputs of similar age from Frontiers in Genetics
#44
of 93 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 228,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.