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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Master Pipeline for Discovery and Validation of Biomarkers
|
---|---|
Chapter number | 13 |
Book title |
Machine Learning for Health Informatics
|
Published in |
Lecture notes in computer science, December 2016
|
DOI | 10.1007/978-3-319-50478-0_13 |
Book ISBNs |
978-3-31-950477-3, 978-3-31-950478-0
|
Authors |
Sebastian J. Teran Hidalgo, Michael T. Lawson, Daniel J. Luckett, Monica Chaudhari, Jingxiang Chen, Arkopal Choudhury, Arianna Di Florio, Xiaotong Jiang, Crystal T. Nguyen, Michael R. Kosorok, Hidalgo, Sebastian J. Teran, Lawson, Michael T., Luckett, Daniel J., Chaudhari, Monica, Chen, Jingxiang, Choudhury, Arkopal, Florio, Arianna Di, Jiang, Xiaotong, Nguyen, Crystal T., Kosorok, Michael R. |
Editors |
Andreas Holzinger |
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 31% |
Student > Ph. D. Student | 3 | 23% |
Student > Doctoral Student | 1 | 8% |
Librarian | 1 | 8% |
Other | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 31% |
Medicine and Dentistry | 4 | 31% |
Social Sciences | 1 | 8% |
Environmental Science | 1 | 8% |
Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 February 2022.
All research outputs
#6,508,296
of 23,072,295 outputs
Outputs from Lecture notes in computer science
#2,115
of 8,145 outputs
Outputs of similar age
#120,009
of 420,381 outputs
Outputs of similar age from Lecture notes in computer science
#87
of 233 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 72% 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 420,381 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 233 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 61% of its contemporaries.