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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Coupling effects on turning points of infectious diseases epidemics in scale-free networks
|
|---|---|
| Published in |
BMC Bioinformatics, May 2017
|
| DOI | 10.1186/s12859-017-1643-7 |
| Pubmed ID | |
| Authors |
Kiseong Kim, Sangyeon Lee, Doheon Lee, Kwang Hyung Lee |
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 % |
|---|---|---|
| Korea, Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Student > Ph. D. Student | 2 | 22% |
| Other | 1 | 11% |
| Student > Master | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 22% |
| Economics, Econometrics and Finance | 1 | 11% |
| Psychology | 1 | 11% |
| Engineering | 1 | 11% |
| Design | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |
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 09 February 2020.
All research outputs
#18,712,246
of 23,192,960 outputs
Outputs from BMC Bioinformatics
#6,381
of 7,345 outputs
Outputs of similar age
#241,768
of 316,867 outputs
Outputs of similar age from BMC Bioinformatics
#89
of 108 outputs
Altmetric has tracked 23,192,960 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 7,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 316,867 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 108 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.