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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using data science for medical decision making case: role of gut microbiome in multiple sclerosis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2020
|
| DOI | 10.1186/s12911-020-01263-2 |
| Pubmed ID | |
| Authors |
Jasminka Hasic Telalovic, Azra Music |
X Demographics
The data shown below were collected from the profiles of 7 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 | 43% |
| Canada | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 12% |
| Student > Ph. D. Student | 8 | 10% |
| Researcher | 7 | 9% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 36 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 18% |
| Computer Science | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 10 | 13% |
| Unknown | 42 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 20 October 2020.
All research outputs
#3,131,947
of 23,248,929 outputs
Outputs from BMC Medical Informatics and Decision Making
#261
of 2,022 outputs
Outputs of similar age
#82,068
of 416,040 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 46 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 87% 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 416,040 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.