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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A decision support system to follow up and diagnose primary headache patients using semantically enriched data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2018
|
| DOI | 10.1186/s12911-018-0679-6 |
| Pubmed ID | |
| Authors |
Gilles Vandewiele, Femke De Backere, Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens, Sofie Van Hoecke, Vincent Keereman, Koen Paemeleire, Femke Ongenae, Filip De Turck |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 4 | 50% |
| United States | 2 | 25% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 13 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Medicine and Dentistry | 3 | 13% |
| Business, Management and Accounting | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 21 November 2018.
All research outputs
#4,566,825
of 23,112,054 outputs
Outputs from BMC Medical Informatics and Decision Making
#403
of 2,013 outputs
Outputs of similar age
#89,831
of 343,833 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 39 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 79% 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 343,833 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 73% of its contemporaries.
We're also able to compare this research output to 39 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 71% of its contemporaries.