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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying precision medicine principles to the management of multimorbidity: the utility of comorbidity networks, graph machine learning, and knowledge graphs
|
|---|---|
| Published in |
Frontiers in Medicine, January 2024
|
| DOI | 10.3389/fmed.2023.1302844 |
| Pubmed ID | |
| Authors |
Richard John Woodman, Bogda Koczwara, Arduino Aleksander Mangoni |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 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 % |
|---|---|---|
| Unspecified | 2 | 22% |
| Student > Doctoral Student | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 22% |
| Computer Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 5 | 56% |
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 30 January 2024.
All research outputs
#20,554,513
of 25,260,058 outputs
Outputs from Frontiers in Medicine
#4,952
of 7,091 outputs
Outputs of similar age
#115,647
of 169,376 outputs
Outputs of similar age from Frontiers in Medicine
#59
of 108 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 11th percentile – i.e., 11% 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 169,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% 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.