| Title |
Computational intractability law molds the topology of biological networks
|
|---|---|
| Published in |
Applied Network Science, July 2020
|
| DOI | 10.1007/s41109-020-00268-0 |
| Authors |
Ali A. Atiia, Corbin Hopper, Katsumi Inoue, Silvia Vidal, Jérôme Waldispühl |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 33% |
| Professor | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Lecturer | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 33% |
| Linguistics | 1 | 11% |
| Decision Sciences | 1 | 11% |
| Economics, Econometrics and Finance | 1 | 11% |
| Unknown | 3 | 33% |
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 23 March 2023.
All research outputs
#13,054,291
of 23,575,882 outputs
Outputs from Applied Network Science
#231
of 514 outputs
Outputs of similar age
#178,521
of 398,404 outputs
Outputs of similar age from Applied Network Science
#13
of 28 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 54% 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 398,404 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 55% of its contemporaries.
We're also able to compare this research output to 28 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 50% of its contemporaries.