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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection and Analysis of Drug Misuses. A Study Based on Social Media Messages
|
|---|---|
| Published in |
Frontiers in Pharmacology, July 2018
|
| DOI | 10.3389/fphar.2018.00791 |
| Pubmed ID | |
| Authors |
Elise Bigeard, Natalia Grabar, Frantz Thiessard |
| Abstract |
Drug misuse may happen when patients do not follow the prescriptions and do actions which lead to potentially harmful situations, such as intakes of incorrect dosage (overuse or underuse) or drug use for indications different from those prescribed. Although such situations are dangerous, patients usually do not report the misuse of drugs to their physicians. Hence, other sources of information are necessary for studying these issues. We assume that online health fora can provide such information and propose to exploit them. The general purpose of our work is the automatic detection and classification of drug misuses by analysing user-generated data in French social media. To this end, we propose a multi-step method, the main steps of which are: (1) indexing of messages with extended vocabulary adapted to social media writing; (2) creation of typology of drug misuses; and (3) automatic classification of messages according to whether they contain drug misuses or not. We present the results obtained at different steps and discuss them. The proposed method permit to detect the misuses with up to 0.773 F-measure. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Student > Master | 5 | 15% |
| Other | 3 | 9% |
| Professor | 2 | 6% |
| Lecturer | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 18% |
| Computer Science | 5 | 15% |
| Business, Management and Accounting | 2 | 6% |
| Social Sciences | 2 | 6% |
| Decision Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 15 | 44% |
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 25 August 2018.
All research outputs
#18,646,262
of 23,099,576 outputs
Outputs from Frontiers in Pharmacology
#8,443
of 16,457 outputs
Outputs of similar age
#254,253
of 330,323 outputs
Outputs of similar age from Frontiers in Pharmacology
#210
of 398 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 37th percentile – i.e., 37% 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 330,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.