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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using cognitive theory to facilitate medical education
|
|---|---|
| Published in |
BMC Medical Education, April 2014
|
| DOI | 10.1186/1472-6920-14-79 |
| Pubmed ID | |
| Authors |
Yu Qi Qiao, Jun Shen, Xiao Liang, Song Ding, Fang Yuan Chen, Li Shao, Qing Zheng, Zhi Hua Ran |
| Abstract |
Educators continue to search for better strategies for medical education. Although the unifying theme of reforms was "increasing interest in, attention to, and understanding of the knowledge base structures", it is difficult to achieve all these aspects via a single type of instruction. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 14% |
| United States | 1 | 14% |
| Australia | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 353 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Malaysia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Colombia | 1 | <1% |
| Israel | 1 | <1% |
| Ecuador | 1 | <1% |
| Thailand | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 343 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 13% |
| Other | 35 | 10% |
| Student > Bachelor | 34 | 10% |
| Student > Ph. D. Student | 30 | 8% |
| Lecturer | 27 | 8% |
| Other | 108 | 31% |
| Unknown | 73 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 176 | 50% |
| Social Sciences | 20 | 6% |
| Nursing and Health Professions | 15 | 4% |
| Biochemistry, Genetics and Molecular Biology | 12 | 3% |
| Computer Science | 9 | 3% |
| Other | 39 | 11% |
| Unknown | 82 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 November 2021.
All research outputs
#5,871,983
of 22,753,345 outputs
Outputs from BMC Medical Education
#923
of 3,303 outputs
Outputs of similar age
#55,391
of 226,967 outputs
Outputs of similar age from BMC Medical Education
#20
of 59 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 71% 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 226,967 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 74% of its contemporaries.
We're also able to compare this research output to 59 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 66% of its contemporaries.