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 |
Studying the correlation between different word sense disambiguation methods and summarization effectiveness in biomedical texts
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-355 |
| Pubmed ID | |
| Authors |
Laura Plaza, Antonio J Jimeno-Yepes, Alberto Díaz, Alan R Aronson |
| Abstract |
Word sense disambiguation (WSD) attempts to solve lexical ambiguities by identifying the correct meaning of a word based on its context. WSD has been demonstrated to be an important step in knowledge-based approaches to automatic summarization. However, the correlation between the accuracy of the WSD methods and the summarization performance has never been studied. |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Germany | 1 | 2% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Colombia | 1 | 2% |
| Iran, Islamic Republic of | 1 | 2% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Mexico | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 42 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Student > Master | 9 | 17% |
| Researcher | 6 | 12% |
| Professor > Associate Professor | 3 | 6% |
| Lecturer | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 50% |
| Medicine and Dentistry | 4 | 8% |
| Agricultural and Biological Sciences | 4 | 8% |
| Engineering | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 September 2011.
All research outputs
#13,353,865
of 22,651,245 outputs
Outputs from BMC Bioinformatics
#4,186
of 7,236 outputs
Outputs of similar age
#78,966
of 124,037 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 77 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 124,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.