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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Autworks: a cross-disease network biology application for Autism and related disorders
|
|---|---|
| Published in |
BMC Medical Genomics, November 2012
|
| DOI | 10.1186/1755-8794-5-56 |
| Pubmed ID | |
| Authors |
Tristan H Nelson, Jae-Yoon Jung, Todd F DeLuca, Byron K Hinebaugh, Kristian Che St Gabriel, Dennis P Wall |
| Abstract |
The genetic etiology of autism is heterogeneous. Multiple disorders share genotypic and phenotypic traits with autism. Network based cross-disorder analysis can aid in the understanding and characterization of the molecular pathology of autism, but there are few tools that enable us to conduct cross-disorder analysis and to visualize the results. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 20% |
| Spain | 1 | 20% |
| Mexico | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 3% |
| United States | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 31 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 29% |
| Psychology | 6 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Computer Science | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 February 2020.
All research outputs
#6,815,375
of 22,687,320 outputs
Outputs from BMC Medical Genomics
#311
of 1,213 outputs
Outputs of similar age
#72,992
of 277,211 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 18 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,213 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 277,211 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 18 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 61% of its contemporaries.