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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reproducible inference of transcription factor footprints in ATAC-seq and DNase-seq datasets using protocol-specific bias modeling
|
|---|---|
| Published in |
Genome Biology, February 2019
|
| DOI | 10.1186/s13059-019-1654-y |
| Pubmed ID | |
| Authors |
Aslıhan Karabacak Calviello, Antje Hirsekorn, Ricardo Wurmus, Dilmurat Yusuf, Uwe Ohler |
X Demographics
The data shown below were collected from the profiles of 23 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 | 6 | 26% |
| United Kingdom | 4 | 17% |
| Germany | 1 | 4% |
| France | 1 | 4% |
| Japan | 1 | 4% |
| Austria | 1 | 4% |
| Russia | 1 | 4% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 57% |
| Scientists | 9 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 184 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 26% |
| Researcher | 28 | 15% |
| Student > Master | 22 | 12% |
| Student > Bachelor | 21 | 11% |
| Student > Doctoral Student | 9 | 5% |
| Other | 20 | 11% |
| Unknown | 36 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 78 | 42% |
| Agricultural and Biological Sciences | 37 | 20% |
| Computer Science | 8 | 4% |
| Medicine and Dentistry | 7 | 4% |
| Neuroscience | 3 | 2% |
| Other | 14 | 8% |
| Unknown | 37 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 18 April 2020.
All research outputs
#2,853,344
of 24,620,113 outputs
Outputs from Genome Biology
#2,175
of 4,356 outputs
Outputs of similar age
#61,695
of 358,145 outputs
Outputs of similar age from Genome Biology
#41
of 60 outputs
Altmetric has tracked 24,620,113 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 50% 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 358,145 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 82% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.