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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning
|
|---|---|
| Published in |
Molecular Cell, May 2020
|
| DOI | 10.1016/j.molcel.2020.04.020 |
| Pubmed ID | |
| Authors |
Ariel Erijman, Lukasz Kozlowski, Salma Sohrabi-Jahromi, James Fishburn, Linda Warfield, Jacob Schreiber, William S Noble, Johannes Söding, Steven Hahn |
X Demographics
The data shown below were collected from the profiles of 60 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 | 29 | 48% |
| United Kingdom | 4 | 7% |
| Spain | 2 | 3% |
| Austria | 2 | 3% |
| Canada | 2 | 3% |
| Iran, Islamic Republic of | 1 | 2% |
| Israel | 1 | 2% |
| Poland | 1 | 2% |
| Brazil | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 14 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 50% |
| Scientists | 30 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 135 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 27% |
| Researcher | 22 | 16% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 7 | 5% |
| Student > Postgraduate | 7 | 5% |
| Other | 16 | 12% |
| Unknown | 32 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 59 | 44% |
| Agricultural and Biological Sciences | 20 | 15% |
| Computer Science | 4 | 3% |
| Chemical Engineering | 3 | 2% |
| Chemistry | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 36 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 22 August 2023.
All research outputs
#833,683
of 25,394,764 outputs
Outputs from Molecular Cell
#748
of 7,621 outputs
Outputs of similar age
#25,493
of 421,744 outputs
Outputs of similar age from Molecular Cell
#26
of 108 outputs
Altmetric has tracked 25,394,764 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 7,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has done particularly well, scoring higher than 90% 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 421,744 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 93% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.