You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pain Research Forum: application of scientific social media frameworks in neuroscience
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, March 2014
|
| DOI | 10.3389/fninf.2014.00021 |
| Pubmed ID | |
| Authors |
Sudeshna Das, Patricia G. McCaffrey, Megan W. T. Talkington, Neil A. Andrews, Stéphane Corlosquet, Adrian J. Ivinson, Tim Clark |
| Abstract |
Social media has the potential to accelerate the pace of biomedical research through online collaboration, discussions, and faster sharing of information. Focused web-based scientific social collaboratories such as the Alzheimer Research Forum have been successful in engaging scientists in open discussions of the latest research and identifying gaps in knowledge. However, until recently, tools to rapidly create such communities and provide high-bandwidth information exchange between collaboratories in related fields did not exist. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 25% |
| Student > Master | 8 | 17% |
| Other | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 17% |
| Nursing and Health Professions | 8 | 17% |
| Computer Science | 6 | 13% |
| Medicine and Dentistry | 4 | 8% |
| Business, Management and Accounting | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 28 October 2020.
All research outputs
#2,360,429
of 24,143,470 outputs
Outputs from Frontiers in Neuroinformatics
#88
of 790 outputs
Outputs of similar age
#23,728
of 225,219 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#4
of 20 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 790 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 88% 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 225,219 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 89% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.