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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mining Adverse Drug Reactions from online healthcare forums using Hidden Markov Model
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2014
|
| DOI | 10.1186/1472-6947-14-91 |
| Pubmed ID | |
| Authors |
Hariprasad Sampathkumar, Xue-wen Chen, Bo Luo |
| Abstract |
Adverse Drug Reactions are one of the leading causes of injury or death among patients undergoing medical treatments. Not all Adverse Drug Reactions are identified before a drug is made available in the market. Current post-marketing drug surveillance methods, which are based purely on voluntary spontaneous reports, are unable to provide the early indications necessary to prevent the occurrence of such injuries or fatalities. The objective of this research is to extract reports of adverse drug side-effects from messages in online healthcare forums and use them as early indicators to assist in post-marketing drug surveillance. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Spain | 1 | 10% |
| India | 1 | 10% |
| France | 1 | 10% |
| Belgium | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 135 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 28% |
| Student > Master | 32 | 23% |
| Researcher | 15 | 11% |
| Professor > Associate Professor | 6 | 4% |
| Lecturer > Senior Lecturer | 4 | 3% |
| Other | 17 | 12% |
| Unknown | 26 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 31% |
| Medicine and Dentistry | 16 | 12% |
| Nursing and Health Professions | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 4% |
| Business, Management and Accounting | 6 | 4% |
| Other | 23 | 17% |
| Unknown | 37 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 28 October 2015.
All research outputs
#4,568,629
of 22,769,322 outputs
Outputs from BMC Medical Informatics and Decision Making
#413
of 1,984 outputs
Outputs of similar age
#53,159
of 260,445 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 29 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 79% 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 260,445 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 29 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 93% of its contemporaries.