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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Annotation Analysis for Testing Drug Safety Signals using Unstructured Clinical Notes
|
|---|---|
| Published in |
Journal of Biomedical Semantics, April 2012
|
| DOI | 10.1186/2041-1480-3-s1-s5 |
| Pubmed ID | |
| Authors |
Paea LePendu, Srinivasan V Iyer, Cédrick Fairon, Nigam H Shah |
| Abstract |
The electronic surveillance for adverse drug events is largely based upon the analysis of coded data from reporting systems. Yet, the vast majority of electronic health data lies embedded within the free text of clinical notes and is not gathered into centralized repositories. With the increasing access to large volumes of electronic medical data-in particular the clinical notes-it may be possible to computationally encode and to test drug safety signals in an active manner. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| United Kingdom | 2 | 1% |
| Finland | 1 | <1% |
| Indonesia | 1 | <1% |
| Taiwan | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 135 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 23% |
| Researcher | 30 | 20% |
| Student > Master | 15 | 10% |
| Student > Postgraduate | 9 | 6% |
| Other | 9 | 6% |
| Other | 27 | 18% |
| Unknown | 23 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 40 | 27% |
| Medicine and Dentistry | 32 | 22% |
| Agricultural and Biological Sciences | 18 | 12% |
| Nursing and Health Professions | 6 | 4% |
| Engineering | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 31 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 March 2013.
All research outputs
#15,243,549
of 22,665,794 outputs
Outputs from Journal of Biomedical Semantics
#238
of 364 outputs
Outputs of similar age
#104,181
of 163,180 outputs
Outputs of similar age from Journal of Biomedical Semantics
#7
of 8 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 21st percentile – i.e., 21% 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 163,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.