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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Negated bio-events: analysis and identification
|
|---|---|
| Published in |
BMC Bioinformatics, January 2013
|
| DOI | 10.1186/1471-2105-14-14 |
| Pubmed ID | |
| Authors |
Raheel Nawaz, Paul Thompson, Sophia Ananiadou |
| Abstract |
Negation occurs frequently in scientific literature, especially in biomedical literature. It has previously been reported that around 13% of sentences found in biomedical research articles contain negation. Historically, the main motivation for identifying negated events has been to ensure their exclusion from lists of extracted interactions. However, recently, there has been a growing interest in negative results, which has resulted in negation detection being identified as a key challenge in biomedical relation extraction. In this article, we focus on the problem of identifying negated bio-events, given gold standard event annotations. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 4 | 67% |
| Norway | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Spain | 2 | 3% |
| Netherlands | 1 | 2% |
| Brazil | 1 | 2% |
| France | 1 | 2% |
| Australia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 57 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 26% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Other | 13 | 20% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 47% |
| Agricultural and Biological Sciences | 7 | 11% |
| Medicine and Dentistry | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 11 | 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 17 January 2013.
All research outputs
#7,318,693
of 24,380,741 outputs
Outputs from BMC Bioinformatics
#2,669
of 7,526 outputs
Outputs of similar age
#78,151
of 293,749 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 137 outputs
Altmetric has tracked 24,380,741 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 7,526 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 293,749 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 137 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.