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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decision-support systems for ambulatory care, including pandemic requirements: using mathematically optimized solutions
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2022
|
| DOI | 10.1186/s12911-022-01866-x |
| Pubmed ID | |
| Authors |
Neele Leithäuser, Dennis Adelhütte, Kristin Braun, Christina Büsing, Martin Comis, Timo Gersing, Sebastian Johann, Arie M. C. A. Koster, Sven O. Krumke, Frauke Liers, Eva Schmidt, Johanna Schneider, Manuel Streicher, Sebastian Tschuppik, Sophia Wrede |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 8 | 19% |
| Student > Master | 4 | 9% |
| Researcher | 2 | 5% |
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 19 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 8 | 19% |
| Medicine and Dentistry | 3 | 7% |
| Social Sciences | 3 | 7% |
| Computer Science | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 23 | 53% |
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 17 May 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,833
of 2,024 outputs
Outputs of similar age
#359,318
of 442,449 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#43
of 50 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 442,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.