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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of feedback loops and robustness in network evolution based on Boolean models
|
|---|---|
| Published in |
BMC Bioinformatics, November 2007
|
| DOI | 10.1186/1471-2105-8-430 |
| Pubmed ID | |
| Authors |
Yung-Keun Kwon, Kwang-Hyun Cho |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Germany | 1 | 2% |
| India | 1 | 2% |
| Latvia | 1 | 2% |
| Russia | 1 | 2% |
| Singapore | 1 | 2% |
| Unknown | 57 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 33% |
| Researcher | 15 | 23% |
| Professor | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Student > Master | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 34% |
| Biochemistry, Genetics and Molecular Biology | 12 | 19% |
| Engineering | 5 | 8% |
| Computer Science | 4 | 6% |
| Mathematics | 2 | 3% |
| Other | 9 | 14% |
| Unknown | 10 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 March 2018.
All research outputs
#15,494,712
of 23,026,672 outputs
Outputs from BMC Bioinformatics
#5,399
of 7,316 outputs
Outputs of similar age
#67,066
of 78,173 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 49 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,316 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 78,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.