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X Demographics
Mendeley readers
Attention Score in Context
| Title |
XperimentR: painless annotation of a biological experiment for the laboratory scientist
|
|---|---|
| Published in |
BMC Bioinformatics, January 2013
|
| DOI | 10.1186/1471-2105-14-8 |
| Pubmed ID | |
| Authors |
Chris D Tomlinson, Geraint R Barton, Mark Woodbridge, Sarah A Butcher |
| Abstract |
Today's biological experiments often involve the collaboration of multidisciplinary researchers utilising several high throughput 'omics platforms. There is a requirement for the details of the experiment to be adequately described using standardised ontologies to enable data preservation, the analysis of the data and to facilitate the export of the data to public repositories. However there are a bewildering number of ontologies, controlled vocabularies, and minimum standards available for use to describe experiments. There is a need for user-friendly software tools to aid laboratory scientists in capturing the experimental information. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Other | 6 | 16% |
| Professor | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Master | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 46% |
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Computer Science | 6 | 16% |
| Medicine and Dentistry | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 February 2014.
All research outputs
#15,262,171
of 22,694,633 outputs
Outputs from BMC Bioinformatics
#5,363
of 7,254 outputs
Outputs of similar age
#184,192
of 284,968 outputs
Outputs of similar age from BMC Bioinformatics
#97
of 139 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 284,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.