You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Supporting novel biomedical research via multilayer collaboration networks
|
|---|---|
| Published in |
Applied Network Science, November 2016
|
| DOI | 10.1007/s41109-016-0015-y |
| Pubmed ID | |
| Authors |
Konstantin Kuzmin, Xiaoyan Lu, Partha Sarathi Mukherjee, Juntao Zhuang, Chris Gaiteri, Boleslaw K. Szymanski |
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 % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Student > Master | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Doctoral Student | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 22% |
| Engineering | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 7 | 26% |
| Unknown | 6 | 22% |
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 31 October 2016.
All research outputs
#18,349,015
of 23,577,654 outputs
Outputs from Applied Network Science
#397
of 514 outputs
Outputs of similar age
#291,245
of 421,214 outputs
Outputs of similar age from Applied Network Science
#5
of 5 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 8th percentile – i.e., 8% 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 421,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.