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X Demographics
Mendeley readers
Attention Score in Context
| Title |
diffBUM-HMM: a robust statistical modeling approach for detecting RNA flexibility changes in high-throughput structure probing data
|
|---|---|
| Published in |
Genome Biology, May 2021
|
| DOI | 10.1186/s13059-021-02379-y |
| Pubmed ID | |
| Authors |
Paolo Marangio, Ka Ying Toby Law, Guido Sanguinetti, Sander Granneman |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 5 | 31% |
| Singapore | 1 | 6% |
| Netherlands | 1 | 6% |
| Hong Kong | 1 | 6% |
| Italy | 1 | 6% |
| Switzerland | 1 | 6% |
| India | 1 | 6% |
| Spain | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 56% |
| Members of the public | 6 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Doctoral Student | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Researcher | 2 | 12% |
| Professor | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 41% |
| Agricultural and Biological Sciences | 4 | 24% |
| Chemistry | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 06 July 2021.
All research outputs
#2,330,775
of 25,387,668 outputs
Outputs from Genome Biology
#1,920
of 4,470 outputs
Outputs of similar age
#58,885
of 459,795 outputs
Outputs of similar age from Genome Biology
#59
of 98 outputs
Altmetric has tracked 25,387,668 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 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% 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 459,795 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 87% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.