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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recovering rearranged cancer chromosomes from karyotype graphs
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3208-4 |
| Pubmed ID | |
| Authors |
Sergey Aganezov, Ilya Zban, Vitaly Aksenov, Nikita Alexeev, Michael C. Schatz |
X Demographics
The data shown below were collected from the profiles of 18 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 | 50% |
| United Kingdom | 1 | 6% |
| Unknown | 8 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 78% |
| Members of the public | 3 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 23% |
| Student > Ph. D. Student | 3 | 23% |
| Student > Doctoral Student | 2 | 15% |
| Student > Master | 2 | 15% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 31% |
| Medicine and Dentistry | 3 | 23% |
| Agricultural and Biological Sciences | 2 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 December 2019.
All research outputs
#3,598,961
of 23,182,015 outputs
Outputs from BMC Bioinformatics
#1,269
of 7,345 outputs
Outputs of similar age
#77,480
of 430,755 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 227 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% 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 430,755 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 81% of its contemporaries.
We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.