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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A plea for taking all available clinical information into account when assessing the predictive value of omics data
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2019
|
| DOI | 10.1186/s12874-019-0802-0 |
| Pubmed ID | |
| Authors |
Alexander Volkmann, Riccardo De Bin, Willi Sauerbrei, Anne-Laure Boulesteix |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| United Kingdom | 2 | 20% |
| New Zealand | 1 | 10% |
| China | 1 | 10% |
| India | 1 | 10% |
| Korea, Republic of | 1 | 10% |
| Unknown | 1 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 29% |
| Other | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Master | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Computer Science | 2 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 July 2021.
All research outputs
#6,103,261
of 23,153,184 outputs
Outputs from BMC Medical Research Methodology
#925
of 2,040 outputs
Outputs of similar age
#107,724
of 346,468 outputs
Outputs of similar age from BMC Medical Research Methodology
#20
of 53 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 has gotten more attention than average, scoring higher than 54% 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 346,468 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 68% of its contemporaries.
We're also able to compare this research output to 53 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 62% of its contemporaries.