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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A restricted spectrum of missense KMT2D variants cause a multiple malformations disorder distinct from Kabuki syndrome
|
|---|---|
| Published in |
Genetics in Medicine, January 2020
|
| DOI | 10.1038/s41436-019-0743-3 |
| Pubmed ID | |
| Authors |
Sara Cuvertino, Verity Hartill, Alice Colyer, Terence Garner, Nisha Nair, Lihadh Al-Gazali, Natalie Canham, Victor Faundes, Frances Flinter, Jozef Hertecant, Muriel Holder-Espinasse, Brian Jackson, Sally Ann Lynch, Fatima Nadat, Vagheesh M. Narasimhan, Michelle Peckham, Robert Sellers, Marco Seri, Francesca Montanari, Laura Southgate, Gabriella Maria Squeo, Richard Trembath, David van Heel, Santina Venuto, Daniel Weisberg, Karen Stals, Sian Ellard, Anne Barton, Susan J. Kimber, Eamonn Sheridan, Giuseppe Merla, Adam Stevens, Colin A. Johnson, Siddharth Banka |
X Demographics
The data shown below were collected from the profiles of 29 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 Kingdom | 17 | 59% |
| Ireland | 1 | 3% |
| United States | 1 | 3% |
| Israel | 1 | 3% |
| Turkey | 1 | 3% |
| Chile | 1 | 3% |
| Unknown | 7 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 48% |
| Members of the public | 11 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 24% |
| Student > Ph. D. Student | 8 | 9% |
| Student > Master | 7 | 8% |
| Other | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Other | 15 | 17% |
| Unknown | 25 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 27% |
| Medicine and Dentistry | 20 | 22% |
| Agricultural and Biological Sciences | 4 | 4% |
| Psychology | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 30 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 03 January 2022.
All research outputs
#1,492,223
of 25,387,668 outputs
Outputs from Genetics in Medicine
#495
of 2,945 outputs
Outputs of similar age
#36,687
of 474,198 outputs
Outputs of similar age from Genetics in Medicine
#15
of 45 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 83% 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 474,198 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 92% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.