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Mendeley readers
Attention Score in Context
| Title |
Factors influencing health professions students’ use of computers for data analysis at three Ugandan public medical schools: a cross-sectional survey
|
|---|---|
| Published in |
BMC Research Notes, February 2015
|
| DOI | 10.1186/s13104-015-1013-3 |
| Pubmed ID | |
| Authors |
Ian G Munabi, William Buwembo, Francis Bajunirwe, David Lagoro Kitara, Ruberwa Joseph, Kawungezi Peter, Celestino Obua, John Quinn, Erisa S Mwaka |
| Abstract |
Effective utilization of computers and their applications in medical education and research is of paramount importance to students. The objective of this study was to determine the association between owning a computer and use of computers for research data analysis and the other factors influencing health professions students' computer use for data analysis. We conducted a cross sectional study among undergraduate health professions students at three public universities in Uganda using a self-administered questionnaire. The questionnaire was composed of questions on participant demographics, students' participation in research, computer ownership, and use of computers for data analysis. Descriptive and inferential statistics (uni-variable and multi- level logistic regression analysis) were used to analyse data. The level of significance was set at 0.05. Six hundred (600) of 668 questionnaires were completed and returned (response rate 89.8%). A majority of respondents were male (68.8%) and 75.3% reported owning computers. Overall, 63.7% of respondents reported that they had ever done computer based data analysis. The following factors were significant predictors of having ever done computer based data analysis: ownership of a computer (adj. OR 1.80, p = 0.02), recently completed course in statistics (Adj. OR 1.48, p =0.04), and participation in research (Adj. OR 2.64, p <0.01). Owning a computer, participation in research and undertaking courses in research methods influence undergraduate students' use of computers for research data analysis. Students are increasingly participating in research, and thus need to have competencies for the successful conduct of research. Medical training institutions should encourage both curricular and extra-curricular efforts to enhance research capacity in line with the modern theories of adult learning. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Other | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 13 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 24% |
| Nursing and Health Professions | 4 | 11% |
| Social Sciences | 3 | 8% |
| Unspecified | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 13 | 34% |
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 20 April 2015.
All research outputs
#20,268,102
of 22,799,071 outputs
Outputs from BMC Research Notes
#3,559
of 4,262 outputs
Outputs of similar age
#215,344
of 255,465 outputs
Outputs of similar age from BMC Research Notes
#46
of 52 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% 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 255,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.