| Title |
The structural basis for cohesin–CTCF-anchored loops
|
|---|---|
| Published in |
Nature, January 2020
|
| DOI | 10.1038/s41586-019-1910-z |
| Pubmed ID | |
| Authors |
Yan Li, Judith H. I. Haarhuis, Ángela Sedeño Cacciatore, Roel Oldenkamp, Marjon S. van Ruiten, Laureen Willems, Hans Teunissen, Kyle W. Muir, Elzo de Wit, Benjamin D. Rowland, Daniel Panne |
X Demographics
The data shown below were collected from the profiles of 151 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 | 42 | 28% |
| United Kingdom | 19 | 13% |
| Spain | 5 | 3% |
| France | 5 | 3% |
| Germany | 4 | 3% |
| India | 3 | 2% |
| Netherlands | 3 | 2% |
| Japan | 3 | 2% |
| Mexico | 3 | 2% |
| Other | 17 | 11% |
| Unknown | 47 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 80 | 53% |
| Members of the public | 66 | 44% |
| Practitioners (doctors, other healthcare professionals) | 4 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 412 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 412 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 104 | 25% |
| Researcher | 63 | 15% |
| Student > Bachelor | 48 | 12% |
| Student > Master | 37 | 9% |
| Student > Postgraduate | 18 | 4% |
| Other | 37 | 9% |
| Unknown | 105 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 201 | 49% |
| Agricultural and Biological Sciences | 53 | 13% |
| Physics and Astronomy | 10 | 2% |
| Computer Science | 9 | 2% |
| Medicine and Dentistry | 8 | 2% |
| Other | 22 | 5% |
| Unknown | 109 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 93. 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 24 October 2023.
All research outputs
#470,974
of 25,918,061 outputs
Outputs from Nature
#21,851
of 99,095 outputs
Outputs of similar age
#11,389
of 480,130 outputs
Outputs of similar age from Nature
#444
of 865 outputs
Altmetric has tracked 25,918,061 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,095 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.9. This one has done well, scoring higher than 77% 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 480,130 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 865 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.