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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2022
|
| DOI | 10.1186/s12911-022-01985-5 |
| Pubmed ID | |
| Authors |
Md Zakir Hossain, Elena Daskalaki, Anne Brüstle, Jane Desborough, Christian J. Lueck, Hanna Suominen |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 11% |
| Librarian | 2 | 7% |
| Other | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 15 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 15% |
| Psychology | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Nursing and Health Professions | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 16 | 59% |
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 16 September 2022.
All research outputs
#15,030,956
of 23,885,338 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,142
of 2,048 outputs
Outputs of similar age
#206,024
of 418,449 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 48 outputs
Altmetric has tracked 23,885,338 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 2,048 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 38th percentile – i.e., 38% 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 418,449 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 48 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 66% of its contemporaries.