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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CRUP: a comprehensive framework to predict condition-specific regulatory units
|
|---|---|
| Published in |
Genome Biology, November 2019
|
| DOI | 10.1186/s13059-019-1860-7 |
| Pubmed ID | |
| Authors |
Anna Ramisch, Verena Heinrich, Laura V. Glaser, Alisa Fuchs, Xinyi Yang, Philipp Benner, Robert Schöpflin, Na Li, Sarah Kinkley, Anja Römer-Hillmann, John Longinotto, Steffen Heyne, Beate Czepukojc, Sonja M. Kessler, Alexandra K. Kiemer, Cristina Cadenas, Laura Arrigoni, Nina Gasparoni, Thomas Manke, Thomas Pap, John A. Pospisilik, Jan Hengstler, Jörn Walter, Sebastiaan H. Meijsing, Ho-Ryun Chung, Martin Vingron |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 12 | 33% |
| United States | 7 | 19% |
| United Kingdom | 3 | 8% |
| Switzerland | 2 | 6% |
| France | 2 | 6% |
| Austria | 1 | 3% |
| Spain | 1 | 3% |
| India | 1 | 3% |
| Unknown | 7 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 56% |
| Members of the public | 14 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 21% |
| Student > Ph. D. Student | 15 | 20% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 5 | 7% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 36% |
| Agricultural and Biological Sciences | 10 | 13% |
| Medicine and Dentistry | 5 | 7% |
| Computer Science | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 24 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 2023.
All research outputs
#522,111
of 25,387,668 outputs
Outputs from Genome Biology
#299
of 4,470 outputs
Outputs of similar age
#11,899
of 381,890 outputs
Outputs of similar age from Genome Biology
#12
of 95 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 97th percentile: it's in the top 5% 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 done particularly well, scoring higher than 93% 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 381,890 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 96% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.