| Title |
Predicting onset of complications from diabetes: a graph based approach
|
|---|---|
| Published in |
Applied Network Science, November 2018
|
| DOI | 10.1007/s41109-018-0106-z |
| Pubmed ID | |
| Authors |
Pamela Bilo Thomas, Daniel H. Robertson, Nitesh V. Chawla |
X Demographics
The data shown below were collected from the profiles of 9 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 | 11% |
| Canada | 1 | 11% |
| Ecuador | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Other | 5 | 11% |
| Professor | 3 | 7% |
| Other | 8 | 17% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Computer Science | 8 | 17% |
| Nursing and Health Professions | 4 | 9% |
| Arts and Humanities | 1 | 2% |
| Linguistics | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 November 2018.
All research outputs
#5,726,355
of 23,112,054 outputs
Outputs from Applied Network Science
#150
of 506 outputs
Outputs of similar age
#100,396
of 343,509 outputs
Outputs of similar age from Applied Network Science
#8
of 10 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 70% 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 343,509 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 70% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.