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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How experiences become data: the process of eliciting adverse event, medical history and concomitant medication reports in antimalarial and antiretroviral interaction trials
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2013
|
| DOI | 10.1186/1471-2288-13-140 |
| Pubmed ID | |
| Authors |
Elizabeth N Allen, Adiel K Mushi, Isolide S Massawe, Lasse S Vestergaard, Martha Lemnge, Sarah G Staedke, Ushma Mehta, Karen I Barnes, Clare IR Chandler |
| Abstract |
Accurately characterizing a drug's safety profile is essential. Trial harm and tolerability assessments rely, in part, on participants' reports of medical histories, adverse events (AEs), and concomitant medications. Optimal methods for questioning participants are unclear, but different methods giving different results can undermine meta-analyses. This study compared methods for eliciting such data and explored reasons for dissimilar participant responses. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Argentina | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 70 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 21% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 10 | 14% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Other | 14 | 19% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 33% |
| Nursing and Health Professions | 11 | 15% |
| Social Sciences | 8 | 11% |
| Agricultural and Biological Sciences | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 12 | 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 March 2021.
All research outputs
#7,128,748
of 22,741,406 outputs
Outputs from BMC Medical Research Methodology
#1,051
of 2,005 outputs
Outputs of similar age
#66,682
of 212,339 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 24 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 46th percentile – i.e., 46% 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 212,339 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 68% of its contemporaries.
We're also able to compare this research output to 24 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 50% of its contemporaries.