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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of machine learning techniques for predicting survival in ovarian cancer
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2022
|
| DOI | 10.1186/s12911-022-02087-y |
| Pubmed ID | |
| Authors |
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad, Matin Bagherzadeh Mohasefi, Uffe Kock Wiil |
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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 12% |
| Other | 3 | 7% |
| Student > Master | 3 | 7% |
| Researcher | 2 | 5% |
| Professor | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 24 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 15% |
| Engineering | 4 | 10% |
| Medicine and Dentistry | 2 | 5% |
| Physics and Astronomy | 1 | 2% |
| Materials Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 26 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 January 2023.
All research outputs
#15,607,560
of 23,989,683 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,267
of 2,054 outputs
Outputs of similar age
#224,991
of 440,137 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 47 outputs
Altmetric has tracked 23,989,683 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,054 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 37th percentile – i.e., 37% 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 440,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 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 59% of its contemporaries.