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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Individual and combined effects of DNA methylation and copy number alterations on miRNA expression in breast tumors
|
|---|---|
| Published in |
Genome Biology, November 2013
|
| DOI | 10.1186/gb-2013-14-11-r126 |
| Pubmed ID | |
| Authors |
Miriam Ragle Aure, Suvi-Katri Leivonen, Thomas Fleischer, Qian Zhu, Jens Overgaard, Jan Alsner, Trine Tramm, Riku Louhimo, Grethe I Grenaker Alnæs, Merja Perälä, Florence Busato, Nizar Touleimat, Jörg Tost, Anne-Lise Børresen-Dale, Sampsa Hautaniemi, Olga G Troyanskaya, Ole Christian Lingjærde, Kristine Kleivi Sahlberg, Vessela N Kristensen |
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 % |
|---|---|---|
| United Kingdom | 3 | 27% |
| France | 2 | 18% |
| United States | 1 | 9% |
| Puerto Rico | 1 | 9% |
| Benin | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 2 | 2% |
| United States | 1 | <1% |
| Unknown | 106 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 25% |
| Student > Ph. D. Student | 24 | 22% |
| Student > Master | 16 | 15% |
| Student > Doctoral Student | 7 | 6% |
| Student > Bachelor | 4 | 4% |
| Other | 18 | 17% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 28% |
| Agricultural and Biological Sciences | 30 | 28% |
| Medicine and Dentistry | 12 | 11% |
| Computer Science | 9 | 8% |
| Immunology and Microbiology | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 15 | 14% |
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 December 2022.
All research outputs
#3,328,075
of 25,706,302 outputs
Outputs from Genome Biology
#2,384
of 4,504 outputs
Outputs of similar age
#35,907
of 317,296 outputs
Outputs of similar age from Genome Biology
#43
of 79 outputs
Altmetric has tracked 25,706,302 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 4,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 46th percentile – i.e., 46% 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 317,296 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 79 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.