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Mendeley readers
Attention Score in Context
| Title |
Unsupervised grammar induction of clinical report sublanguage
|
|---|---|
| Published in |
Journal of Biomedical Semantics, October 2012
|
| DOI | 10.1186/2041-1480-3-s3-s4 |
| Pubmed ID | |
| Authors |
Rohit J Kate |
| Abstract |
Clinical reports are written using a subset of natural language while employing many domain-specific terms; such a language is also known as a sublanguage for a scientific or a technical domain. Different genres of clinical reports use different sublaguages, and in addition, different medical facilities use different medical language conventions. This makes supervised training of a parser for clinical sentences very difficult as it would require expensive annotation effort to adapt to every type of clinical text. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 30% |
| Student > Master | 2 | 20% |
| Librarian | 1 | 10% |
| Professor | 1 | 10% |
| Lecturer | 1 | 10% |
| Other | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 60% |
| Medicine and Dentistry | 3 | 30% |
| Unknown | 1 | 10% |
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 04 August 2015.
All research outputs
#15,253,344
of 22,681,577 outputs
Outputs from Journal of Biomedical Semantics
#238
of 364 outputs
Outputs of similar age
#108,290
of 172,607 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 12 outputs
Altmetric has tracked 22,681,577 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 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 21st percentile – i.e., 21% 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 172,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.