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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
How do United Kingdom (UK) medical schools identify and support undergraduate medical students who ‘fail’ communication assessments? A national survey
|
|---|---|
| Published in |
BMC Medical Education, July 2013
|
| DOI | 10.1186/1472-6920-13-95 |
| Pubmed ID | |
| Authors |
Connie Wiskin, Eva M Doherty, Martin von Fragstein, Anita Laidlaw, Helen Salisbury |
| Abstract |
The doctor's ability to communicate effectively (with patients, relatives, advocates and healthcare colleagues) relates directly to health outcomes, and so is core to clinical practice. The remediation of medical students' clinical communication ability is rarely addressed in medical education literature. There is nothing in the current literature reporting a contemporary national picture of how communication difficulties are managed, and the level of consequence (progression implications) for students of performing poorly. This survey aimed to consolidate practices for identifying and processes for managing students who 'fail' communication assessments across all UK medical schools. |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 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 % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Thailand | 1 | 3% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Student > Bachelor | 5 | 13% |
| Lecturer | 5 | 13% |
| Lecturer > Senior Lecturer | 4 | 10% |
| Student > Postgraduate | 3 | 8% |
| Other | 10 | 25% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 53% |
| Social Sciences | 5 | 13% |
| Nursing and Health Professions | 4 | 10% |
| Psychology | 2 | 5% |
| Unknown | 8 | 20% |
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 30 July 2013.
All research outputs
#14,172,390
of 22,714,025 outputs
Outputs from BMC Medical Education
#1,950
of 3,299 outputs
Outputs of similar age
#109,340
of 194,174 outputs
Outputs of similar age from BMC Medical Education
#23
of 34 outputs
Altmetric has tracked 22,714,025 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 3,299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 35th percentile – i.e., 35% 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 194,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.