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Attention Score in Context
| Title |
Synonym extraction and abbreviation expansion with ensembles of semantic spaces
|
|---|---|
| Published in |
Journal of Biomedical Semantics, February 2014
|
| DOI | 10.1186/2041-1480-5-6 |
| Pubmed ID | |
| Authors |
Aron Henriksson, Hans Moen, Maria Skeppstedt, Vidas Daudaravičius, Martin Duneld |
| Abstract |
Terminologies that account for variation in language use by linking synonyms and abbreviations to their corresponding concept are important enablers of high-quality information extraction from medical texts. Due to the use of specialized sub-languages in the medical domain, manual construction of semantic resources that accurately reflect language use is both costly and challenging, often resulting in low coverage. Although models of distributional semantics applied to large corpora provide a potential means of supporting development of such resources, their ability to isolate synonymy from other semantic relations is limited. Their application in the clinical domain has also only recently begun to be explored. Combining distributional models and applying them to different types of corpora may lead to enhanced performance on the tasks of automatically extracting synonyms and abbreviation-expansion pairs. |
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 % |
|---|---|---|
| Sweden | 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 102 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 26% |
| Student > Ph. D. Student | 24 | 22% |
| Researcher | 17 | 16% |
| Student > Bachelor | 7 | 7% |
| Other | 7 | 7% |
| Other | 14 | 13% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 52 | 49% |
| Linguistics | 10 | 9% |
| Medicine and Dentistry | 9 | 8% |
| Agricultural and Biological Sciences | 6 | 6% |
| Engineering | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 18 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 March 2024.
All research outputs
#7,356,550
of 25,374,917 outputs
Outputs from Journal of Biomedical Semantics
#125
of 368 outputs
Outputs of similar age
#81,155
of 322,641 outputs
Outputs of similar age from Journal of Biomedical Semantics
#5
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 64% 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 322,641 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 73% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.