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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2021
|
| DOI | 10.1186/s12911-021-01636-1 |
| Pubmed ID | |
| Authors |
Muhammad Amith, Chidinma Onye, Tracey Ledoux, Grace Xiong, Cui Tao |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 20% |
| Ecuador | 2 | 20% |
| United States | 1 | 10% |
| Bulgaria | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 6% |
| Lecturer | 2 | 6% |
| Student > Master | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Librarian | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 22 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Unspecified | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 23 | 68% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 November 2021.
All research outputs
#4,735,826
of 25,732,188 outputs
Outputs from BMC Medical Informatics and Decision Making
#382
of 2,157 outputs
Outputs of similar age
#97,331
of 443,026 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 55 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% 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 443,026 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 77% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.