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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Translating insights into tumor evolution to clinical practice: promises and challenges
|
|---|---|
| Published in |
Genome Medicine, March 2019
|
| DOI | 10.1186/s13073-019-0632-z |
| Pubmed ID | |
| Authors |
Matthew W. Fittall, Peter Van Loo |
X Demographics
The data shown below were collected from the profiles of 28 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 | 8 | 29% |
| United Kingdom | 6 | 21% |
| Belgium | 1 | 4% |
| India | 1 | 4% |
| France | 1 | 4% |
| Unknown | 11 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 46% |
| Members of the public | 11 | 39% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 166 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 21% |
| Student > Ph. D. Student | 30 | 18% |
| Student > Master | 21 | 13% |
| Student > Bachelor | 16 | 10% |
| Student > Doctoral Student | 10 | 6% |
| Other | 21 | 13% |
| Unknown | 33 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 27% |
| Medicine and Dentistry | 26 | 16% |
| Agricultural and Biological Sciences | 19 | 11% |
| Mathematics | 7 | 4% |
| Engineering | 6 | 4% |
| Other | 25 | 15% |
| Unknown | 38 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 29 March 2021.
All research outputs
#1,623,572
of 24,998,746 outputs
Outputs from Genome Medicine
#357
of 1,543 outputs
Outputs of similar age
#36,553
of 357,504 outputs
Outputs of similar age from Genome Medicine
#5
of 21 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 76% 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 357,504 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 89% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.