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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling the integration of bacterial rRNA fragments into the human cancer genome
|
|---|---|
| Published in |
BMC Bioinformatics, March 2016
|
| DOI | 10.1186/s12859-016-0982-0 |
| Pubmed ID | |
| Authors |
Karsten B. Sieber, Pawel Gajer, Julie C. Dunning Hotopp |
X Demographics
The data shown below were collected from the profiles of 30 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 | 11 | 37% |
| Tunisia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Greece | 1 | 3% |
| Japan | 1 | 3% |
| China | 1 | 3% |
| Italy | 1 | 3% |
| France | 1 | 3% |
| Unknown | 12 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 47% |
| Members of the public | 14 | 47% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 32 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Student > Bachelor | 6 | 18% |
| Researcher | 5 | 15% |
| Student > Postgraduate | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 21% |
| Agricultural and Biological Sciences | 7 | 21% |
| Computer Science | 3 | 9% |
| Immunology and Microbiology | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 01 October 2016.
All research outputs
#1,497,659
of 25,728,350 outputs
Outputs from BMC Bioinformatics
#199
of 7,737 outputs
Outputs of similar age
#24,486
of 314,509 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 124 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,737 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 97% 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 314,509 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 124 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.