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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developing and implementing an institute-wide data sharing policy
|
|---|---|
| Published in |
Genome Medicine, September 2011
|
| DOI | 10.1186/gm276 |
| Pubmed ID | |
| Authors |
Stephanie OM Dyke, Tim JP Hubbard |
| Abstract |
The Wellcome Trust Sanger Institute has a strong reputation for prepublication data sharing as a result of its policy of rapid release of genome sequence data and particularly through its contribution to the Human Genome Project. The practicalities of broad data sharing remain largely uncharted, especially to cover the wide range of data types currently produced by genomic studies and to adequately address ethical issues. This paper describes the processes and challenges involved in implementing a data sharing policy on an institute-wide scale. This includes questions of governance, practical aspects of applying principles to diverse experimental contexts, building enabling systems and infrastructure, incentives and collaborative issues. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 5% |
| Canada | 2 | 3% |
| United States | 2 | 3% |
| Sweden | 1 | 2% |
| Turkey | 1 | 2% |
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 54 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 31% |
| Student > Master | 7 | 11% |
| Student > Ph. D. Student | 6 | 9% |
| Professor > Associate Professor | 6 | 9% |
| Other | 4 | 6% |
| Other | 18 | 28% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 26% |
| Medicine and Dentistry | 10 | 15% |
| Social Sciences | 9 | 14% |
| Computer Science | 8 | 12% |
| Nursing and Health Professions | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 7 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 09 November 2011.
All research outputs
#3,107,762
of 25,374,917 outputs
Outputs from Genome Medicine
#702
of 1,585 outputs
Outputs of similar age
#16,067
of 143,037 outputs
Outputs of similar age from Genome Medicine
#4
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 55% 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 143,037 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 15 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 73% of its contemporaries.