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X Demographics
Mendeley readers
Attention Score in Context
| Title |
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2020
|
| DOI | 10.1186/s12911-020-01224-9 |
| Pubmed ID | |
| Authors |
Federico Cabitza, Andrea Campagner, Luca Maria Sconfienza |
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 % |
|---|---|---|
| Italy | 5 | 50% |
| Ecuador | 1 | 10% |
| Belgium | 1 | 10% |
| Nigeria | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 8 | 14% |
| Researcher | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Other | 4 | 7% |
| Other | 10 | 18% |
| Unknown | 15 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 16% |
| Computer Science | 7 | 13% |
| Medicine and Dentistry | 6 | 11% |
| Business, Management and Accounting | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 18 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 June 2022.
All research outputs
#5,725,629
of 23,577,654 outputs
Outputs from BMC Medical Informatics and Decision Making
#487
of 2,025 outputs
Outputs of similar age
#121,104
of 402,382 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 51 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 402,382 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 69% of its contemporaries.
We're also able to compare this research output to 51 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 70% of its contemporaries.