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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MERIT: a mentor reflection instrument for identifying the personal interpretative framework
|
|---|---|
| Published in |
BMC Medical Education, March 2021
|
| DOI | 10.1186/s12909-021-02579-x |
| Pubmed ID | |
| Authors |
Lianne M. Loosveld, Pascal W. M. Van Gerven, Erik W. Driessen, Eline Vanassche, Anthony R. Artino |
| Abstract |
Essential to the professional development of mentors is making explicit and critically challenging the knowledge and beliefs underpinning their mentoring practice. This paper reports on the development of a survey instrument called MERIT, MEntor Reflection InstrumenT, which was designed to support mentors' systematic reflection on the how, what and why of their practice. In 2019, a twenty-item survey instrument was developed and piloted. Initial validation data (N = 228) were collected by distributing the survey through the authors' network. An exploratory factor analysis (EFA) was conducted and internal consistency reliability coefficients were calculated. The Principal Axis EFA with Direct Oblimin rotation (Delta = 0) resulted in four factors: 1) supporting personal development, 2) modelling professional development, 3) fostering autonomy, and 4) monitoring performance. The four factors explained 43% of the total variance of item scores. The Cronbach's alphas for the subscale scores were between .42 and .75. The MERIT can help mentors reflect on their beliefs and professional knowhow. These reflections can serve as input for the faculty development initiatives mentors undertake, which may ultimately improve their knowledge and skills as a mentor. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 5 | 17% |
| Netherlands | 3 | 10% |
| Canada | 2 | 7% |
| France | 1 | 3% |
| Kenya | 1 | 3% |
| Ireland | 1 | 3% |
| Singapore | 1 | 3% |
| Unknown | 15 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 55% |
| Scientists | 8 | 28% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 19% |
| Student > Master | 2 | 13% |
| Other | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 25% |
| Business, Management and Accounting | 2 | 13% |
| Linguistics | 1 | 6% |
| Arts and Humanities | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 28 August 2023.
All research outputs
#1,998,040
of 25,761,363 outputs
Outputs from BMC Medical Education
#249
of 4,053 outputs
Outputs of similar age
#53,516
of 454,974 outputs
Outputs of similar age from BMC Medical Education
#6
of 95 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,053 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 93% 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 454,974 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 88% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.