You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2021
|
| DOI | 10.1186/s12911-021-01451-8 |
| Pubmed ID | |
| Authors |
Fredrik A. Dahl, Taraka Rama, Petter Hurlen, Pål H. Brekke, Haldor Husby, Tore Gundersen, Øystein Nytrø, Lilja Øvrelid |
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 % |
|---|---|---|
| Norway | 3 | 43% |
| Netherlands | 1 | 14% |
| France | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 18% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Computer Science | 2 | 9% |
| Social Sciences | 1 | 5% |
| Mathematics | 1 | 5% |
| Unknown | 14 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 March 2021.
All research outputs
#6,495,940
of 23,287,285 outputs
Outputs from BMC Medical Informatics and Decision Making
#620
of 2,023 outputs
Outputs of similar age
#143,033
of 420,308 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#19
of 50 outputs
Altmetric has tracked 23,287,285 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,023 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 69% 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 420,308 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 65% of its contemporaries.
We're also able to compare this research output to 50 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 62% of its contemporaries.