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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DEIVA: a web application for interactive visual analysis of differential gene expression profiles
|
|---|---|
| Published in |
BMC Genomics, January 2017
|
| DOI | 10.1186/s12864-016-3396-5 |
| Pubmed ID | |
| Authors |
Jayson Harshbarger, Anton Kratz, Piero Carninci |
| Abstract |
Differential gene expression (DGE) analysis is a technique to identify statistically significant differences in RNA abundance for genes or arbitrary features between different biological states. The result of a DGE test is typically further analyzed using statistical software, spreadsheets or custom ad hoc algorithms. We identified a need for a web-based system to share DGE statistical test results, and locate and identify genes in DGE statistical test results with a very low barrier of entry. We have developed DEIVA, a free and open source, browser-based single page application (SPA) with a strong emphasis on being user friendly that enables locating and identifying single or multiple genes in an immediate, interactive, and intuitive manner. By design, DEIVA scales with very large numbers of users and datasets. Compared to existing software, DEIVA offers a unique combination of design decisions that enable inspection and analysis of DGE statistical test results with an emphasis on ease of use. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 18% |
| United States | 2 | 18% |
| United Kingdom | 2 | 18% |
| Germany | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 32% |
| Student > Bachelor | 6 | 15% |
| Student > Doctoral Student | 5 | 12% |
| Professor | 3 | 7% |
| Other | 3 | 7% |
| Other | 10 | 24% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 37% |
| Biochemistry, Genetics and Molecular Biology | 13 | 32% |
| Computer Science | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 July 2017.
All research outputs
#2,468,479
of 24,887,826 outputs
Outputs from BMC Genomics
#677
of 11,099 outputs
Outputs of similar age
#49,293
of 431,883 outputs
Outputs of similar age from BMC Genomics
#21
of 220 outputs
Altmetric has tracked 24,887,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,099 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 431,883 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 220 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 90% of its contemporaries.