Title |
Unpublished genomic data–how to share?
|
---|---|
Published in |
BMC Genomics, January 2014
|
DOI | 10.1186/1471-2164-15-5 |
Pubmed ID | |
Authors |
Shreeya Nanda, Maria K Kowalczuk |
Abstract |
The field of genomics is often cited as the branch of biology that has led the way in data sharing. In most cases, sequencing data are made publicly available immediately after generation and often before the data generators have completed their analyses. Although the pros of such openness cannot be denied, problems can arise when unpublished genomic data are shared. In this editorial we touch on these issues and discuss the roles and responsibilities of the data generators, data users and journal editors. |
X Demographics
The data shown below were collected from the profiles of 49 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 | 9 | 18% |
United Kingdom | 3 | 6% |
France | 2 | 4% |
Japan | 2 | 4% |
Denmark | 1 | 2% |
Cameroon | 1 | 2% |
Germany | 1 | 2% |
Belgium | 1 | 2% |
Ecuador | 1 | 2% |
Other | 9 | 18% |
Unknown | 19 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 22 | 45% |
Members of the public | 22 | 45% |
Science communicators (journalists, bloggers, editors) | 4 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 6% |
Brazil | 2 | 4% |
Chile | 1 | 2% |
Cuba | 1 | 2% |
Sweden | 1 | 2% |
Netherlands | 1 | 2% |
Greece | 1 | 2% |
Canada | 1 | 2% |
Unknown | 43 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 43% |
Student > Ph. D. Student | 6 | 11% |
Professor > Associate Professor | 4 | 7% |
Other | 3 | 6% |
Student > Master | 3 | 6% |
Other | 9 | 17% |
Unknown | 6 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 57% |
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Computer Science | 3 | 6% |
Medicine and Dentistry | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 5 | 9% |
Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 11 May 2021.
All research outputs
#1,141,926
of 25,405,598 outputs
Outputs from BMC Genomics
#165
of 11,255 outputs
Outputs of similar age
#12,411
of 321,301 outputs
Outputs of similar age from BMC Genomics
#4
of 214 outputs
Altmetric has tracked 25,405,598 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,255 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 321,301 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 214 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 98% of its contemporaries.