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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamics of gene regulatory networks and their dependence on network topology and quantitative parameters – the case of phage λ
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2909-z |
| Pubmed ID | |
| Authors |
Dace Ruklisa, Alvis Brazma, Karlis Cerans, Thomas Schlitt, Juris Viksna |
X Demographics
The data shown below were collected from the profiles of 14 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 | 29% |
| United States | 2 | 14% |
| Finland | 1 | 7% |
| Spain | 1 | 7% |
| South Africa | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 3 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 27% |
| Student > Ph. D. Student | 4 | 18% |
| Student > Bachelor | 2 | 9% |
| Student > Master | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 27% |
| Agricultural and Biological Sciences | 4 | 18% |
| Computer Science | 2 | 9% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 23% |
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 05 June 2019.
All research outputs
#4,826,292
of 25,388,837 outputs
Outputs from BMC Bioinformatics
#1,728
of 7,688 outputs
Outputs of similar age
#88,513
of 357,333 outputs
Outputs of similar age from BMC Bioinformatics
#58
of 203 outputs
Altmetric has tracked 25,388,837 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,688 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 76% of its peers.
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 357,333 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 203 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.