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Mendeley readers
Attention Score in Context
| Title |
Mail merge can be used to create personalized questionnaires in complex surveys
|
|---|---|
| Published in |
BMC Research Notes, October 2015
|
| DOI | 10.1186/s13104-015-1570-5 |
| Pubmed ID | |
| Authors |
Monica Taljaard, Shazia Hira Chaudhry, Jamie C. Brehaut, Charles Weijer, Jeremy M. Grimshaw |
| Abstract |
Low response rates and inadequate question comprehension threaten the validity of survey results. We describe a simple procedure to implement personalized-as opposed to generically worded-questionnaires in the context of a complex web-based survey of corresponding authors of a random sample of 300 published cluster randomized trials. The purpose of the survey was to gather more detailed information about informed consent procedures used in the trial, over and above basic information provided in the trial report. We describe our approach-which allowed extensive personalization without the need for specialized computer technology-and discuss its potential application in similar settings. The mail merge feature of standard word processing software was used to generate unique, personalized questionnaires for each author by incorporating specific information from the article, including naming the randomization unit (e.g., family practice, school, worksite), and identifying specific individuals who may have been considered research participants at the cluster level (family doctors, teachers, employers) and individual level (patients, students, employees) in questions regarding informed consent procedures in the trial. The response rate was relatively high (64 %, 182/285) and did not vary significantly by author, publication, or study characteristics. The refusal rate was low (7 %). While controlled studies are required to examine the specific effects of our approach on comprehension, quality of responses, and response rates, we showed how mail merge can be used as a simple but useful tool to add personalized fields to complex survey questionnaires, or to request additional information required from study authors. One potential application is in eliciting specific information about published articles from study authors when conducting systematic reviews and meta-analyses. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 14 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 13% |
| Psychology | 4 | 10% |
| Business, Management and Accounting | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 15 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 October 2015.
All research outputs
#14,240,471
of 22,831,537 outputs
Outputs from BMC Research Notes
#1,954
of 4,263 outputs
Outputs of similar age
#145,069
of 280,046 outputs
Outputs of similar age from BMC Research Notes
#80
of 193 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,263 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 50% 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 280,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 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 52% of its contemporaries.