| Title |
MiPanda: A Resource for Analyzing and Visualizing Next-Generation Sequencing Transcriptomics Data
|
|---|---|
| Published in |
Neoplasia, September 2018
|
| DOI | 10.1016/j.neo.2018.09.001 |
| Pubmed ID | |
| Authors |
Yashar S. Niknafs, Balaji Pandian, Tilak Gajjar, Zach Gaudette, Kevin Wheelock, Mitra P. Maz, Rohan K. Achar, Melinda Song, Cory Massaro, Xuhong Cao, Arul M. Chinnaiyan |
| Abstract |
The Michigan Portal for the Analysis of NGS data portal (http://mipanda.org) is an open-access online resource that provides the scientific community with access to the results of a large-scale computational analysis of thousands of high-throughput RNA sequencing (RNA-seq) samples. The portal provides access to gene expression profiles, enabling users to interrogate expression of genes across myriad normal and cancer tissues and cell lines. From these data, tissue- and cancer-specific expression patterns can be identified. Gene-gene coexpression profiles can also be interrogated. The current portal contains data for over 20,000 RNA-seq samples and will be continually updated. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Turkey | 1 | 13% |
| Singapore | 1 | 13% |
| Iceland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Bachelor | 4 | 14% |
| Professor | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 9 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Agricultural and Biological Sciences | 5 | 17% |
| Medicine and Dentistry | 4 | 14% |
| Computer Science | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 10 January 2020.
All research outputs
#3,195,481
of 25,385,509 outputs
Outputs from Neoplasia
#97
of 1,369 outputs
Outputs of similar age
#62,642
of 351,592 outputs
Outputs of similar age from Neoplasia
#1
of 20 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 92% 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 351,592 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 82% of its contemporaries.
We're also able to compare this research output to 20 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 95% of its contemporaries.