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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How reliable is the linear noise approximation of gene regulatory networks?
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-s4-s5 |
| Pubmed ID | |
| Authors |
Philipp Thomas, Hannes Matuschek, Ramon Grima |
| Abstract |
The linear noise approximation (LNA) is commonly used to predict how noise is regulated and exploited at the cellular level. These predictions are exact for reaction networks composed exclusively of first order reactions or for networks involving bimolecular reactions and large numbers of molecules. It is however well known that gene regulation involves bimolecular interactions with molecule numbers as small as a single copy of a particular gene. It is therefore questionable how reliable are the LNA predictions for these systems. |
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 % |
|---|---|---|
| United Kingdom | 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 26% |
| Student > Ph. D. Student | 13 | 22% |
| Student > Master | 9 | 16% |
| Lecturer | 3 | 5% |
| Student > Bachelor | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 9 | 16% |
| Mathematics | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Agricultural and Biological Sciences | 7 | 12% |
| Computer Science | 6 | 10% |
| Other | 8 | 14% |
| Unknown | 12 | 21% |
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 10 December 2013.
All research outputs
#18,357,514
of 22,736,112 outputs
Outputs from BMC Genomics
#8,159
of 10,631 outputs
Outputs of similar age
#154,393
of 207,137 outputs
Outputs of similar age from BMC Genomics
#94
of 148 outputs
Altmetric has tracked 22,736,112 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 10,631 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 207,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.