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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The calculation of information and organismal complexity
|
|---|---|
| Published in |
Biology Direct, October 2010
|
| DOI | 10.1186/1745-6150-5-59 |
| Pubmed ID | |
| Authors |
Yun Jiang, Cunshuan Xu |
| Abstract |
It is difficult to measure precisely the phenotypic complexity of living organisms. Here we propose a method to calculate the minimal amount of genomic information needed to construct organism (effective information) as a measure of organismal complexity, by using permutation and combination formulas and Shannon's information concept. |
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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 12 | 25% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 5 | 10% |
| Other | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 46% |
| Biochemistry, Genetics and Molecular Biology | 13 | 27% |
| Computer Science | 5 | 10% |
| Business, Management and Accounting | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 3 | 6% |
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 February 2015.
All research outputs
#18,361,534
of 22,741,406 outputs
Outputs from Biology Direct
#413
of 487 outputs
Outputs of similar age
#88,653
of 98,962 outputs
Outputs of similar age from Biology Direct
#3
of 3 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 7th percentile – i.e., 7% 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 98,962 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.