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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Knowledge-based extraction of adverse drug events from biomedical text
|
|---|---|
| Published in |
BMC Bioinformatics, March 2014
|
| DOI | 10.1186/1471-2105-15-64 |
| Pubmed ID | |
| Authors |
Ning Kang, Bharat Singh, Chinh Bui, Zubair Afzal, Erik M van Mulligen, Jan A Kors |
| Abstract |
Many biomedical relation extraction systems are machine-learning based and have to be trained on large annotated corpora that are expensive and cumbersome to construct. We developed a knowledge-based relation extraction system that requires minimal training data, and applied the system for the extraction of adverse drug events from biomedical text. The system consists of a concept recognition module that identifies drugs and adverse effects in sentences, and a knowledge-base module that establishes whether a relation exists between the recognized concepts. The knowledge base was filled with information from the Unified Medical Language System. The performance of the system was evaluated on the ADE corpus, consisting of 1644 abstracts with manually annotated adverse drug events. Fifty abstracts were used for training, the remaining abstracts were used for testing. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 20% |
| Spain | 1 | 20% |
| Norway | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 2% |
| France | 2 | 2% |
| United States | 2 | 2% |
| Australia | 1 | <1% |
| Portugal | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 110 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 26% |
| Researcher | 22 | 18% |
| Student > Master | 13 | 11% |
| Student > Doctoral Student | 9 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 21 | 17% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 61 | 50% |
| Agricultural and Biological Sciences | 10 | 8% |
| Medicine and Dentistry | 8 | 7% |
| Engineering | 5 | 4% |
| Social Sciences | 3 | 2% |
| Other | 13 | 11% |
| Unknown | 21 | 17% |
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 15 July 2014.
All research outputs
#13,404,726
of 22,747,498 outputs
Outputs from BMC Bioinformatics
#4,194
of 7,268 outputs
Outputs of similar age
#109,738
of 221,286 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 101 outputs
Altmetric has tracked 22,747,498 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 7,268 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 221,286 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.