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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Coding and noncoding variants in EBF3 are involved in HADDS and simplex autism
|
|---|---|
| Published in |
Human Genomics, July 2021
|
| DOI | 10.1186/s40246-021-00342-3 |
| Pubmed ID | |
| Authors |
Evin M. Padhi, Tristan J. Hayeck, Zhang Cheng, Sumantra Chatterjee, Brandon J. Mannion, Marta Byrska-Bishop, Marjolaine Willems, Lucile Pinson, Sylvia Redon, Caroline Benech, Kevin Uguen, Séverine Audebert-Bellanger, Cédric Le Marechal, Claude Férec, Stephanie Efthymiou, Fatima Rahman, Shazia Maqbool, Reza Maroofian, Henry Houlden, Rajeeva Musunuri, Giuseppe Narzisi, Avinash Abhyankar, Riana D. Hunter, Jennifer Akiyama, Lauren E. Fries, Jeffrey K. Ng, Elvisa Mehinovic, Nick Stong, Andrew S. Allen, Diane E. Dickel, Raphael A. Bernier, David U. Gorkin, Len A. Pennacchio, Michael C. Zody, Tychele N. Turner |
X Demographics
The data shown below were collected from the profiles of 19 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 | 6 | 32% |
| Belgium | 1 | 5% |
| Unknown | 12 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 53% |
| Scientists | 9 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Other | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Neuroscience | 4 | 14% |
| Agricultural and Biological Sciences | 2 | 7% |
| Social Sciences | 2 | 7% |
| Psychology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 11 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 12 November 2021.
All research outputs
#1,389,086
of 25,392,582 outputs
Outputs from Human Genomics
#29
of 564 outputs
Outputs of similar age
#33,979
of 446,178 outputs
Outputs of similar age from Human Genomics
#1
of 25 outputs
Altmetric has tracked 25,392,582 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 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 94% 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 446,178 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 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.