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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive miRNA sequence analysis reveals survival differences in diffuse large B-cell lymphoma patients
|
|---|---|
| Published in |
Genome Biology, January 2015
|
| DOI | 10.1186/s13059-014-0568-y |
| Pubmed ID | |
| Authors |
Emilia L Lim, Diane L Trinh, David W Scott, Andy Chu, Martin Krzywinski, Yongjun Zhao, A Gordon Robertson, Andrew J Mungall, Jacqueline Schein, Merrill Boyle, Anja Mottok, Daisuke Ennishi, Nathalie A Johnson, Christian Steidl, Joseph M Connors, Ryan D Morin, Randy D Gascoyne, Marco A Marra |
Twitter Demographics
The data shown below were collected from the profiles of 26 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 23% |
| United States | 5 | 19% |
| France | 2 | 8% |
| Canada | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 11 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 54% |
| Scientists | 10 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 2 | 2% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Haiti | 1 | <1% |
| Unknown | 115 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 24% |
| Researcher | 20 | 16% |
| Student > Bachelor | 11 | 9% |
| Student > Master | 10 | 8% |
| Student > Postgraduate | 9 | 7% |
| Other | 26 | 21% |
| Unknown | 17 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 25% |
| Agricultural and Biological Sciences | 30 | 25% |
| Biochemistry, Genetics and Molecular Biology | 25 | 20% |
| Computer Science | 6 | 5% |
| Immunology and Microbiology | 4 | 3% |
| Other | 9 | 7% |
| Unknown | 18 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 May 2019.
All research outputs
#1,894,796
of 24,003,070 outputs
Outputs from Genome Biology
#1,657
of 4,279 outputs
Outputs of similar age
#27,623
of 360,566 outputs
Outputs of similar age from Genome Biology
#34
of 65 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has gotten more attention than average, scoring higher than 61% 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 360,566 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.