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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Latent phenotypes pervade gene regulatory circuits
|
|---|---|
| Published in |
BMC Systems Biology, May 2014
|
| DOI | 10.1186/1752-0509-8-64 |
| Pubmed ID | |
| Abstract |
Latent phenotypes are non-adaptive byproducts of adaptive phenotypes. They exist in biological systems as different as promiscuous enzymes and genome-scale metabolic reaction networks, and can give rise to evolutionary adaptations and innovations. We know little about their prevalence in the gene expression phenotypes of regulatory circuits, important sources of evolutionary innovations. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Portugal | 2 | 4% |
| China | 1 | 2% |
| Unknown | 48 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 34% |
| Researcher | 15 | 28% |
| Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 58% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Computer Science | 3 | 6% |
| Immunology and Microbiology | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 4 | 8% |
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 03 June 2014.
All research outputs
#17,721,395
of 22,756,196 outputs
Outputs from BMC Systems Biology
#770
of 1,142 outputs
Outputs of similar age
#155,148
of 226,629 outputs
Outputs of similar age from BMC Systems Biology
#18
of 28 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 27th percentile – i.e., 27% 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 226,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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 is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.