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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MAU2 and NIPBL Variants Impair the Heterodimerization of the Cohesin Loader Subunits and Cause Cornelia de Lange Syndrome
|
|---|---|
| Published in |
Cell Reports, May 2020
|
| DOI | 10.1016/j.celrep.2020.107647 |
| Pubmed ID | |
| Authors |
Ilaria Parenti, Farah Diab, Sara Ruiz Gil, Eskeatnaf Mulugeta, Valentina Casa, Riccardo Berutti, Rutger W.W. Brouwer, Valerie Dupé, Juliane Eckhold, Elisabeth Graf, Beatriz Puisac, Feliciano Ramos, Thomas Schwarzmayr, Macarena Moronta Gines, Thomas van Staveren, Wilfred F.J. van IJcken, Tim M. Strom, Juan Pié, Erwan Watrin, Frank J. Kaiser, Kerstin S. Wendt |
X Demographics
The data shown below were collected from the profiles of 16 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 | 3 | 19% |
| Netherlands | 2 | 13% |
| Germany | 1 | 6% |
| Sweden | 1 | 6% |
| United Kingdom | 1 | 6% |
| Austria | 1 | 6% |
| New Zealand | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Scientists | 7 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Researcher | 10 | 13% |
| Student > Bachelor | 9 | 12% |
| Student > Master | 7 | 9% |
| Professor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 40% |
| Agricultural and Biological Sciences | 13 | 17% |
| Medicine and Dentistry | 6 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 4 | 5% |
| Unknown | 18 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 17 March 2023.
All research outputs
#4,129,637
of 25,503,365 outputs
Outputs from Cell Reports
#7,253
of 13,059 outputs
Outputs of similar age
#95,807
of 410,558 outputs
Outputs of similar age from Cell Reports
#208
of 331 outputs
Altmetric has tracked 25,503,365 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 410,558 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 76% of its contemporaries.
We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.