| Title |
A methodology framework for bipartite network modeling
|
|---|---|
| Published in |
Applied Network Science, January 2023
|
| DOI | 10.1007/s41109-023-00533-y |
| Pubmed ID | |
| Authors |
Chin Ying Liew, Jane Labadin, Woon Chee Kok, Monday Okpoto Eze |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Postgraduate | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Unknown | 15 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 10% |
| Business, Management and Accounting | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 15 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 January 2023.
All research outputs
#15,062,264
of 25,218,929 outputs
Outputs from Applied Network Science
#301
of 580 outputs
Outputs of similar age
#198,869
of 469,309 outputs
Outputs of similar age from Applied Network Science
#9
of 23 outputs
Altmetric has tracked 25,218,929 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 580 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 46th percentile – i.e., 46% 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 469,309 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 55% of its contemporaries.
We're also able to compare this research output to 23 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 65% of its contemporaries.