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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ensuring Best Practice in Genomic Education and Evaluation: A Program Logic Approach
|
|---|---|
| Published in |
Frontiers in Genetics, November 2019
|
| DOI | 10.3389/fgene.2019.01057 |
| Pubmed ID | |
| Authors |
Amy Nisselle, Melissa Martyn, Helen Jordan, Nadia Kaunein, Alison McEwen, Chirag Patel, Bronwyn Terrill, Michelle Bishop, Sylvia Metcalfe, Clara Gaff |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 10 | 40% |
| United Kingdom | 2 | 8% |
| United States | 2 | 8% |
| Switzerland | 1 | 4% |
| South Africa | 1 | 4% |
| Unknown | 9 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 56% |
| Scientists | 8 | 32% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 12% |
| Student > Bachelor | 4 | 9% |
| Researcher | 4 | 9% |
| Lecturer | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 17 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Nursing and Health Professions | 2 | 5% |
| Social Sciences | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 8 | 19% |
| Unknown | 19 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 December 2019.
All research outputs
#1,987,966
of 23,314,015 outputs
Outputs from Frontiers in Genetics
#458
of 12,333 outputs
Outputs of similar age
#45,228
of 366,658 outputs
Outputs of similar age from Frontiers in Genetics
#31
of 401 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,333 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 96% 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 366,658 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 87% of its contemporaries.
We're also able to compare this research output to 401 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 92% of its contemporaries.