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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2021
|
| DOI | 10.1186/s12911-021-01565-z |
| Pubmed ID | |
| Authors |
Fabián Villena, Jorge Pérez, René Lagos, Jocelyn Dunstan |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 11 | 44% |
| France | 1 | 4% |
| Unknown | 13 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Researcher | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 26% |
| Medicine and Dentistry | 4 | 13% |
| Engineering | 3 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 29 July 2021.
All research outputs
#2,046,045
of 25,388,177 outputs
Outputs from BMC Medical Informatics and Decision Making
#111
of 2,139 outputs
Outputs of similar age
#47,899
of 437,175 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 64 outputs
Altmetric has tracked 25,388,177 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,139 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 94% 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 437,175 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 88% of its contemporaries.
We're also able to compare this research output to 64 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 92% of its contemporaries.