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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive assessment of differential ChIP-seq tools guides optimal algorithm selection
|
|---|---|
| Published in |
Genome Biology, May 2022
|
| DOI | 10.1186/s13059-022-02686-y |
| Pubmed ID | |
| Authors |
Thomas Eder, Florian Grebien |
X Demographics
The data shown below were collected from the profiles of 51 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 | 22% |
| Austria | 8 | 16% |
| Germany | 4 | 8% |
| United Kingdom | 3 | 6% |
| Japan | 2 | 4% |
| Switzerland | 2 | 4% |
| Italy | 2 | 4% |
| Denmark | 1 | 2% |
| Canada | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 12 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 55% |
| Members of the public | 21 | 41% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 28% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Bachelor | 5 | 8% |
| Student > Master | 5 | 8% |
| Professor > Associate Professor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 31% |
| Agricultural and Biological Sciences | 15 | 25% |
| Computer Science | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Immunology and Microbiology | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 28 May 2023.
All research outputs
#957,242
of 25,519,924 outputs
Outputs from Genome Biology
#669
of 4,484 outputs
Outputs of similar age
#22,682
of 445,141 outputs
Outputs of similar age from Genome Biology
#15
of 62 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 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 well, scoring higher than 85% 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 445,141 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 94% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.