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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An approach for determining and measuring network hierarchy applied to comparing the phosphorylome and the regulome
|
|---|---|
| Published in |
Genome Biology, March 2015
|
| DOI | 10.1186/s13059-015-0624-2 |
| Pubmed ID | |
| Authors |
Chao Cheng, Erik Andrews, Koon-Kiu Yan, Matthew Ung, Daifeng Wang, Mark Gerstein |
| Abstract |
Many biological networks naturally form a hierarchy with a preponderance of downward information flow. In this study, we define a score to quantify the degree of hierarchy in a network and develop a simulated-annealing algorithm to maximize the hierarchical score globally over a network. We apply our algorithm to determine the hierarchical structure of the phosphorylome in detail and investigate the correlation between its hierarchy and kinase properties. We also compare it to the regulatory network, finding that the phosphorylome is more hierarchical than the regulome. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 7% |
| France | 1 | 7% |
| Belgium | 1 | 7% |
| Ireland | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 10 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| Italy | 1 | 2% |
| Taiwan | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 26% |
| Researcher | 14 | 26% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Professor > Associate Professor | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 35% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Computer Science | 6 | 11% |
| Environmental Science | 2 | 4% |
| Physics and Astronomy | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 April 2015.
All research outputs
#4,159,040
of 25,374,917 outputs
Outputs from Genome Biology
#2,608
of 4,467 outputs
Outputs of similar age
#50,090
of 279,250 outputs
Outputs of similar age from Genome Biology
#47
of 63 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 41st percentile – i.e., 41% 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 279,250 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.