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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome-wide signatures of tumor stage in kidney renal clear cell carcinoma: connecting copy number variation, methylation and transcription factor activity
|
|---|---|
| Published in |
Genome Medicine, December 2014
|
| DOI | 10.1186/s13073-014-0117-z |
| Pubmed ID | |
| Authors |
Qi Liu, Pei-Fang Su, Shilin Zhao, Yu Shyr |
| Abstract |
Comparative analysis of expression profiles between early and late stage cancers can help to understand cancer progression and metastasis mechanisms and to predict the clinical aggressiveness of cancer. The observed stage-dependent expression changes can be explained by genetic and epigenetic alterations as well as transcription dysregulation. Unlike genetic and epigenetic alterations, however, activity changes of transcription factors, generally occurring at the post-transcriptional or post-translational level, are hard to detect and quantify. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Researcher | 4 | 22% |
| Student > Bachelor | 3 | 17% |
| Professor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 22% |
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Medicine and Dentistry | 3 | 17% |
| Computer Science | 2 | 11% |
| Psychology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 February 2015.
All research outputs
#4,015,014
of 22,783,848 outputs
Outputs from Genome Medicine
#814
of 1,439 outputs
Outputs of similar age
#57,759
of 361,229 outputs
Outputs of similar age from Genome Medicine
#38
of 68 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,439 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 361,229 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 83% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.