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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate prediction of cell type-specific transcription factor binding
|
|---|---|
| Published in |
Genome Biology, January 2019
|
| DOI | 10.1186/s13059-018-1614-y |
| Pubmed ID | |
| Authors |
Jens Keilwagen, Stefan Posch, Jan Grau |
X Demographics
The data shown below were collected from the profiles of 48 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 | 23% |
| Germany | 4 | 8% |
| France | 4 | 8% |
| United Kingdom | 2 | 4% |
| Canada | 2 | 4% |
| Switzerland | 1 | 2% |
| Spain | 1 | 2% |
| Russia | 1 | 2% |
| Finland | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 18 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 58% |
| Members of the public | 19 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 21% |
| Researcher | 23 | 21% |
| Student > Bachelor | 14 | 13% |
| Student > Master | 10 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 14 | 13% |
| Unknown | 21 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 38% |
| Agricultural and Biological Sciences | 22 | 20% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 4 | 4% |
| Neuroscience | 3 | 3% |
| Other | 7 | 6% |
| Unknown | 25 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 10 March 2022.
All research outputs
#559,237
of 25,385,509 outputs
Outputs from Genome Biology
#329
of 4,468 outputs
Outputs of similar age
#12,822
of 446,242 outputs
Outputs of similar age from Genome Biology
#10
of 69 outputs
Altmetric has tracked 25,385,509 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 4,468 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 92% 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 446,242 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 97% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.