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.
Mendeley readers
Attention Score in Context
| Title |
Corpus annotation for mining biomedical events from literature
|
|---|---|
| Published in |
BMC Bioinformatics, January 2008
|
| DOI | 10.1186/1471-2105-9-10 |
| Pubmed ID | |
| Authors |
Jin-Dong Kim, Tomoko Ohta, Jun'ichi Tsujii |
| Abstract |
Advanced Text Mining (TM) such as semantic enrichment of papers, event or relation extraction, and intelligent Question Answering have increasingly attracted attention in the bio-medical domain. For such attempts to succeed, text annotation from the biological point of view is indispensable. However, due to the complexity of the task, semantic annotation has never been tried on a large scale, apart from relatively simple term annotation. |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 9% |
| United Kingdom | 5 | 2% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| Portugal | 2 | <1% |
| Netherlands | 1 | <1% |
| Malaysia | 1 | <1% |
| Turkey | 1 | <1% |
| Australia | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 164 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 20% |
| Student > Master | 34 | 17% |
| Student > Ph. D. Student | 33 | 16% |
| Professor > Associate Professor | 18 | 9% |
| Student > Doctoral Student | 12 | 6% |
| Other | 44 | 22% |
| Unknown | 22 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 86 | 42% |
| Agricultural and Biological Sciences | 32 | 16% |
| Medicine and Dentistry | 18 | 9% |
| Linguistics | 11 | 5% |
| Biochemistry, Genetics and Molecular Biology | 9 | 4% |
| Other | 20 | 10% |
| Unknown | 28 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 June 2015.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BMC Bioinformatics
#3,023
of 7,280 outputs
Outputs of similar age
#41,870
of 156,447 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 36 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 156,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.