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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deep Learning Architectures for Vector Representations of Patients and Exploring Predictors of 30-Day Hospital Readmissions in Patients with Multiple Chronic Conditions
|
|---|---|
| Chapter number | 17 |
| Book title |
Artificial Intelligence in Health
|
| Published in |
Lecture notes in computer science, February 2019
|
| DOI | 10.1007/978-3-030-12738-1_17 |
| Book ISBNs |
978-3-03-012737-4, 978-3-03-012738-1
|
| Authors |
Muhammad Rafiq, George Keel, Pamela Mazzocato, Jonas Spaak, Carl Savage, Christian Guttmann |
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 % |
|---|---|---|
| United States | 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 14% |
| Student > Master | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 14 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 29% |
| Medicine and Dentistry | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 50% |
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 20 February 2019.
All research outputs
#15,562,306
of 23,130,383 outputs
Outputs from Lecture notes in computer science
#4,662
of 8,147 outputs
Outputs of similar age
#221,055
of 352,928 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 6 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,147 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 352,928 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.