You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolution of biological interaction networks: from models to real data
|
|---|---|
| Published in |
Genome Biology, December 2011
|
| DOI | 10.1186/gb-2011-12-12-235 |
| Pubmed ID | |
| Authors |
Mark GF Sun, Philip M Kim |
| Abstract |
We are beginning to uncover common mechanisms leading to the evolution of biological networks. The driving force behind these advances is the increasing availability of comparative data in several species. |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 4 | 36% |
| Japan | 2 | 18% |
| United States | 2 | 18% |
| France | 1 | 9% |
| India | 1 | 9% |
| Unknown | 1 | 9% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| Switzerland | 1 | 1% |
| Norway | 1 | 1% |
| Finland | 1 | 1% |
| United Kingdom | 1 | 1% |
| Chile | 1 | 1% |
| Russia | 1 | 1% |
| Denmark | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 86 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 27% |
| Student > Ph. D. Student | 22 | 22% |
| Student > Master | 15 | 15% |
| Professor | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 14 | 14% |
| Unknown | 8 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 49% |
| Biochemistry, Genetics and Molecular Biology | 23 | 23% |
| Computer Science | 9 | 9% |
| Engineering | 2 | 2% |
| Mathematics | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 13 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 August 2012.
All research outputs
#5,429,287
of 25,374,917 outputs
Outputs from Genome Biology
#2,941
of 4,467 outputs
Outputs of similar age
#43,130
of 249,539 outputs
Outputs of similar age from Genome Biology
#24
of 40 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 34th percentile – i.e., 34% 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 249,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.