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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting
|
|---|---|
| Published in |
Journal of Computational Science, May 2023
|
| DOI | 10.1016/j.jocs.2023.102006 |
| Authors |
C.M. Phillips, E.A.B.F. Lima, C. Wu, A.M. Jarrett, Z. Zhou, N. Elshafeey, J. Ma, G.M. Rauch, T.E. Yankeelov |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 38% |
| Student > Bachelor | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 13% |
| Computer Science | 1 | 13% |
| Economics, Econometrics and Finance | 1 | 13% |
| Materials Science | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 May 2023.
All research outputs
#3,638,513
of 25,466,764 outputs
Outputs from Journal of Computational Science
#23
of 297 outputs
Outputs of similar age
#68,403
of 407,952 outputs
Outputs of similar age from Journal of Computational Science
#2
of 5 outputs
Altmetric has tracked 25,466,764 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 92% 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 407,952 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.