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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Autistic traits and individual brain differences: functional network efficiency reflects attentional and social impairments, structural nodal efficiencies index systemising and theory-of-mind skills
|
|---|---|
| Published in |
Molecular Autism, January 2021
|
| DOI | 10.1186/s13229-020-00377-8 |
| Pubmed ID | |
| Authors |
Subhadip Paul, Aditi Arora, Rashi Midha, Dinh Vu, Prasun K. Roy, Matthew K. Belmonte |
Twitter Demographics
The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 7% |
| Netherlands | 1 | 7% |
| India | 1 | 7% |
| Indonesia | 1 | 7% |
| Brazil | 1 | 7% |
| Canada | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 11% |
| Researcher | 8 | 11% |
| Student > Bachelor | 8 | 11% |
| Unspecified | 3 | 4% |
| Professor | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 30 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 14% |
| Neuroscience | 9 | 13% |
| Medicine and Dentistry | 4 | 6% |
| Social Sciences | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 35 | 49% |
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 25 September 2022.
All research outputs
#3,839,419
of 23,577,654 outputs
Outputs from Molecular Autism
#335
of 684 outputs
Outputs of similar age
#102,368
of 505,524 outputs
Outputs of similar age from Molecular Autism
#16
of 29 outputs
Altmetric has tracked 23,577,654 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 684 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.5. This one has gotten more attention than average, scoring higher than 51% 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 505,524 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 79% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.