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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PROGgene: gene expression based survival analysis web application for multiple cancers
|
|---|---|
| Published in |
Journal of Clinical Bioinformatics, October 2013
|
| DOI | 10.1186/2043-9113-3-22 |
| Pubmed ID | |
| Authors |
Chirayu Pankaj Goswami, Harikrishna Nakshatri |
| Abstract |
Identification of prognostic mRNA biomarkers has been done for various cancer types. The data that are published from such studies are archived in public repositories. There are hundreds of such datasets available for multiple cancer types in public repositories. Wealth of such data can be utilized to study prognostic implications of mRNA in different cancers as well as in different populations or subtypes of same cancer. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Sweden | 1 | 1% |
| Mexico | 1 | 1% |
| United States | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 90 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 17 | 18% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Other | 13 | 14% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 25% |
| Biochemistry, Genetics and Molecular Biology | 17 | 18% |
| Computer Science | 11 | 12% |
| Medicine and Dentistry | 10 | 11% |
| Engineering | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 22 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 October 2020.
All research outputs
#6,373,631
of 25,374,647 outputs
Outputs from Journal of Clinical Bioinformatics
#12
of 61 outputs
Outputs of similar age
#53,766
of 225,590 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#1
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 80% 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 225,590 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 75% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them