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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2010
|
| DOI | 10.1186/1471-2288-10-96 |
| Pubmed ID | |
| Authors |
Ben Van Calster, Lil Valentin, Caroline Van Holsbeke, Antonia C Testa, Tom Bourne, Sabine Van Huffel, Dirk Timmerman |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 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 % |
|---|---|---|
| Spain | 2 | 7% |
| Italy | 1 | 4% |
| Belgium | 1 | 4% |
| Unknown | 24 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 21% |
| Professor > Associate Professor | 4 | 14% |
| Researcher | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 32% |
| Social Sciences | 3 | 11% |
| Agricultural and Biological Sciences | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 7 | 25% |
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 01 March 2020.
All research outputs
#14,450,741
of 23,148,322 outputs
Outputs from BMC Medical Research Methodology
#1,402
of 2,040 outputs
Outputs of similar age
#78,458
of 100,231 outputs
Outputs of similar age from BMC Medical Research Methodology
#9
of 12 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,040 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 28th percentile – i.e., 28% 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 100,231 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.