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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Selecting the right medical student
|
|---|---|
| Published in |
BMC Medicine, November 2013
|
| DOI | 10.1186/1741-7015-11-245 |
| Pubmed ID | |
| Authors |
Sam Leinster |
| Abstract |
Medical student selection is an important but difficult task. Three recent papers by McManus et al. in BMC Medicine have re-examined the role of tests of attainment of learning (A' levels, GCSEs, SQA) and of aptitude (AH5, UKCAT), but on a much larger scale than previously attempted. They conclude that A' levels are still the best predictor of future success at medical school and beyond. However, A' levels account for only 65% of the variance in performance that is found. Therefore, more work is needed to establish relevant assessment of the other 35%. Please see related research articles http://www.biomedcentral.com/1741-7015/11/242, http://www.biomedcentral.com/1741-7015/11/243 and http://www.biomedcentral.com/1741-7015/11/244. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 6 | 60% |
| United States | 2 | 20% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Practitioners (doctors, other healthcare professionals) | 4 | 40% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 6 | 23% |
| Researcher | 4 | 15% |
| Lecturer | 3 | 12% |
| Professor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 62% |
| Psychology | 2 | 8% |
| Social Sciences | 1 | 4% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 May 2017.
All research outputs
#4,447,553
of 22,731,677 outputs
Outputs from BMC Medicine
#2,074
of 3,411 outputs
Outputs of similar age
#41,371
of 212,302 outputs
Outputs of similar age from BMC Medicine
#44
of 50 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,411 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 39th percentile – i.e., 39% 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 212,302 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.