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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Atypical behaviour and connectivity in SHANK3-mutant macaques
|
|---|---|
| Published in |
Nature, June 2019
|
| DOI | 10.1038/s41586-019-1278-0 |
| Pubmed ID | |
| Authors |
Yang Zhou, Jitendra Sharma, Qiong Ke, Rogier Landman, Jingli Yuan, Hong Chen, David S. Hayden, John W. Fisher, Minqing Jiang, William Menegas, Tomomi Aida, Ting Yan, Ying Zou, Dongdong Xu, Shivangi Parmar, Julia B. Hyman, Adrian Fanucci-Kiss, Olivia Meisner, Dongqing Wang, Yan Huang, Yaqing Li, Yanyang Bai, Wenjing Ji, Xinqiang Lai, Weiqiang Li, Lihua Huang, Zhonghua Lu, Liping Wang, Sheeba A. Anteraper, Mriganka Sur, Huihui Zhou, Andy Peng Xiang, Robert Desimone, Guoping Feng, Shihua Yang |
X Demographics
The data shown below were collected from the profiles of 244 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 46 | 19% |
| United States | 20 | 8% |
| Spain | 18 | 7% |
| United Kingdom | 3 | 1% |
| Mexico | 2 | <1% |
| Canada | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Finland | 1 | <1% |
| Central African Republic | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 147 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 212 | 87% |
| Scientists | 25 | 10% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
| Science communicators (journalists, bloggers, editors) | 3 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 314 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 314 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 17% |
| Student > Ph. D. Student | 45 | 14% |
| Student > Master | 31 | 10% |
| Student > Bachelor | 24 | 8% |
| Student > Doctoral Student | 16 | 5% |
| Other | 52 | 17% |
| Unknown | 93 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 90 | 29% |
| Agricultural and Biological Sciences | 30 | 10% |
| Biochemistry, Genetics and Molecular Biology | 23 | 7% |
| Medicine and Dentistry | 16 | 5% |
| Psychology | 12 | 4% |
| Other | 37 | 12% |
| Unknown | 106 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 237. 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 11 December 2023.
All research outputs
#162,390
of 25,775,807 outputs
Outputs from Nature
#10,103
of 98,706 outputs
Outputs of similar age
#3,118
of 369,605 outputs
Outputs of similar age from Nature
#224
of 1,008 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done well, scoring higher than 89% 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 369,605 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 99% of its contemporaries.
We're also able to compare this research output to 1,008 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.