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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extracting semantically enriched events from biomedical literature
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-108 |
| Pubmed ID | |
| Authors |
Makoto Miwa, Paul Thompson, John McNaught, Douglas B Kell, Sophia Ananiadou |
| Abstract |
Research into event-based text mining from the biomedical literature has been growing in popularity to facilitate the development of advanced biomedical text mining systems. Such technology permits advanced search, which goes beyond document or sentence-based retrieval. However, existing event-based systems typically ignore additional information within the textual context of events that can determine, amongst other things, whether an event represents a fact, hypothesis, experimental result or analysis of results, whether it describes new or previously reported knowledge, and whether it is speculated or negated. We refer to such contextual information as meta-knowledge. The automatic recognition of such information can permit the training of systems allowing finer-grained searching of events according to the meta-knowledge that is associated with them. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 9% |
| Myanmar | 1 | 9% |
| Comoros | 1 | 9% |
| Portugal | 1 | 9% |
| France | 1 | 9% |
| Cameroon | 1 | 9% |
| United Kingdom | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Spain | 2 | 2% |
| Japan | 2 | 2% |
| Brazil | 2 | 2% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 94 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 24% |
| Student > Ph. D. Student | 26 | 23% |
| Professor > Associate Professor | 9 | 8% |
| Student > Bachelor | 9 | 8% |
| Student > Master | 9 | 8% |
| Other | 22 | 19% |
| Unknown | 12 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 54% |
| Agricultural and Biological Sciences | 14 | 12% |
| Medicine and Dentistry | 7 | 6% |
| Linguistics | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 14 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 October 2013.
All research outputs
#1,553,342
of 22,665,794 outputs
Outputs from BMC Bioinformatics
#320
of 7,247 outputs
Outputs of similar age
#9,764
of 164,339 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 104 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,247 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 done particularly well, scoring higher than 95% 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 164,339 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.