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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long non-coding RNAs identify a subset of luminal muscle-invasive bladder cancer patients with favorable prognosis
|
|---|---|
| Published in |
Genome Medicine, October 2019
|
| DOI | 10.1186/s13073-019-0669-z |
| Pubmed ID | |
| Authors |
Joep J. de Jong, Yang Liu, A. Gordon Robertson, Roland Seiler, Clarice S. Groeneveld, Michiel S. van der Heijden, Jonathan L. Wright, James Douglas, Marc Dall’Era, Simon J. Crabb, Bas W. G. van Rhijn, Kim E. M. van Kessel, Elai Davicioni, Mauro A. A. Castro, Yair Lotan, Ellen C. Zwarthoff, Peter C. Black, Joost L. Boormans, Ewan A. Gibb |
X Demographics
The data shown below were collected from the profiles of 24 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 | 9 | 38% |
| Canada | 2 | 8% |
| United Kingdom | 2 | 8% |
| Ecuador | 1 | 4% |
| France | 1 | 4% |
| Italy | 1 | 4% |
| Turkey | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 6 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 46% |
| Members of the public | 8 | 33% |
| Practitioners (doctors, other healthcare professionals) | 5 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 30% |
| Biochemistry, Genetics and Molecular Biology | 11 | 26% |
| Computer Science | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 15 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 02 July 2020.
All research outputs
#2,254,813
of 24,166,768 outputs
Outputs from Genome Medicine
#504
of 1,495 outputs
Outputs of similar age
#48,167
of 359,529 outputs
Outputs of similar age from Genome Medicine
#13
of 20 outputs
Altmetric has tracked 24,166,768 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 66% 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 359,529 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 86% 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 is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.