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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Guide: a desktop application for analysing gene expression data
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-688 |
| Pubmed ID | |
| Authors |
Jarny Choi |
| Abstract |
Multiplecompeting bioinformatics tools exist for next-generation sequencing data analysis. Many of these tools are available as R/Bioconductor modules, and it can be challenging for the bench biologist without any programming background to quickly analyse genomics data. Here, we present an application that is designed to be simple to use, while leveraging the power of R as the analysis engine behind the scenes. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 4 | 29% |
| United Kingdom | 1 | 7% |
| India | 1 | 7% |
| Finland | 1 | 7% |
| Canada | 1 | 7% |
| Spain | 1 | 7% |
| France | 1 | 7% |
| Germany | 1 | 7% |
| Sweden | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 2 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 57% |
| Scientists | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 3 | 4% |
| Brazil | 2 | 3% |
| Finland | 1 | 1% |
| Norway | 1 | 1% |
| Denmark | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 59 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 39% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 7 | 10% |
| Professor | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 12 | 17% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 54% |
| Biochemistry, Genetics and Molecular Biology | 14 | 20% |
| Medicine and Dentistry | 3 | 4% |
| Engineering | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 6 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 21 October 2013.
All research outputs
#2,173,934
of 25,373,627 outputs
Outputs from BMC Genomics
#538
of 11,244 outputs
Outputs of similar age
#19,640
of 222,241 outputs
Outputs of similar age from BMC Genomics
#11
of 214 outputs
Altmetric has tracked 25,373,627 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 222,241 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 91% 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 94% of its contemporaries.