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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An R package that automatically collects and archives details for reproducible computing
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-138 |
| Pubmed ID | |
| Authors |
Zhifa Liu, Stan Pounds |
| Abstract |
It is scientifically and ethically imperative that the results of statistical analysis of biomedical research data be computationally reproducible in the sense that the reported results can be easily recapitulated from the study data. Some statistical analyses are computationally a function of many data files, program files, and other details that are updated or corrected over time. In many applications, it is infeasible to manually maintain an accurate and complete record of all these details about a particular analysis. |
X Demographics
The data shown below were collected from the profiles of 108 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 | 27 | 25% |
| United Kingdom | 9 | 8% |
| Spain | 5 | 5% |
| Germany | 4 | 4% |
| France | 3 | 3% |
| New Zealand | 2 | 2% |
| Norway | 2 | 2% |
| Australia | 2 | 2% |
| Sweden | 2 | 2% |
| Other | 10 | 9% |
| Unknown | 42 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 63 | 58% |
| Scientists | 32 | 30% |
| Science communicators (journalists, bloggers, editors) | 9 | 8% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 10% |
| United Kingdom | 2 | 3% |
| Spain | 2 | 3% |
| Denmark | 2 | 3% |
| Sweden | 1 | 2% |
| Finland | 1 | 2% |
| Australia | 1 | 2% |
| Portugal | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 43 | 70% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 46% |
| Student > Ph. D. Student | 15 | 25% |
| Professor | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 36% |
| Computer Science | 13 | 21% |
| Mathematics | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 14 | 23% |
| Unknown | 1 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 04 May 2016.
All research outputs
#494,881
of 25,109,675 outputs
Outputs from BMC Bioinformatics
#21
of 7,652 outputs
Outputs of similar age
#4,320
of 233,169 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 147 outputs
Altmetric has tracked 25,109,675 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,652 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 233,169 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 98% of its contemporaries.
We're also able to compare this research output to 147 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 99% of its contemporaries.