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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Post-Publication Peer Review: Opening Up Scientific Conversation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2012
|
| DOI | 10.3389/fncom.2012.00063 |
| Pubmed ID | |
| Authors |
Jane Hunter |
X Demographics
The data shown below were collected from the profiles of 35 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 | 10 | 29% |
| United States | 3 | 9% |
| France | 2 | 6% |
| Canada | 1 | 3% |
| Nigeria | 1 | 3% |
| Japan | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 16 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 60% |
| Scientists | 11 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| Austria | 1 | 2% |
| United Kingdom | 1 | 2% |
| Iceland | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 25% |
| Student > Master | 8 | 14% |
| Other | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Other | 16 | 28% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 11 | 19% |
| Agricultural and Biological Sciences | 9 | 16% |
| Computer Science | 7 | 12% |
| Medicine and Dentistry | 5 | 9% |
| Neuroscience | 4 | 7% |
| Other | 16 | 28% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 14 September 2022.
All research outputs
#729,506
of 25,759,158 outputs
Outputs from Frontiers in Computational Neuroscience
#30
of 1,475 outputs
Outputs of similar age
#3,935
of 251,832 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 70 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 97% 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 251,832 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 98% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.