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X Demographics
Mendeley readers
Attention Score in Context
Title |
CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research
|
---|---|
Published in |
BMC Bioinformatics, December 2018
|
DOI | 10.1186/s12859-018-2508-4 |
Pubmed ID | |
Authors |
Justin M. Wozniak, Rajeev Jain, Prasanna Balaprakash, Jonathan Ozik, Nicholson T. Collier, John Bauer, Fangfang Xia, Thomas Brettin, Rick Stevens, Jamaludin Mohd-Yusof, Cristina Garcia Cardona, Brian Van Essen, Matthew Baughman |
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 Kingdom | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 26% |
Student > Bachelor | 5 | 11% |
Student > Master | 4 | 9% |
Student > Ph. D. Student | 4 | 9% |
Other | 2 | 4% |
Other | 6 | 13% |
Unknown | 14 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 13% |
Agricultural and Biological Sciences | 5 | 11% |
Medicine and Dentistry | 5 | 11% |
Computer Science | 5 | 11% |
Economics, Econometrics and Finance | 2 | 4% |
Other | 8 | 17% |
Unknown | 16 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 15 October 2020.
All research outputs
#1,662,218
of 24,226,848 outputs
Outputs from BMC Bioinformatics
#311
of 7,512 outputs
Outputs of similar age
#38,744
of 444,213 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 206 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 444,213 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.