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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving early diagnosis of rare diseases using Natural Language Processing in unstructured medical records: an illustration from Dravet syndrome
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, July 2021
|
| DOI | 10.1186/s13023-021-01936-9 |
| Pubmed ID | |
| Authors |
Tommaso Lo Barco, Mathieu Kuchenbuch, Nicolas Garcelon, Antoine Neuraz, Rima Nabbout |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 14% |
| Student > Ph. D. Student | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Professor | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 15 | 21% |
| Unknown | 29 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 19% |
| Engineering | 4 | 6% |
| Unspecified | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 34 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 July 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,832
of 2,673 outputs
Outputs of similar age
#252,622
of 436,029 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#55
of 98 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,673 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 436,029 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.