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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2022
|
| DOI | 10.1186/s12911-022-01790-0 |
| Pubmed ID | |
| Authors |
Lennert Verboven, Toon Calders, Steven Callens, John Black, Gary Maartens, Kelly E. Dooley, Samantha Potgieter, Robin M. Warren, Kris Laukens, Annelies Van Rie |
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 % |
|---|---|---|
| South Africa | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Ph. D. Student | 3 | 8% |
| Unspecified | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 19 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 15% |
| Computer Science | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Unspecified | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 21 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2022.
All research outputs
#15,708,506
of 23,342,232 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,340
of 2,022 outputs
Outputs of similar age
#252,750
of 441,575 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#30
of 53 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 24th percentile – i.e., 24% 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 441,575 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
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 is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.