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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Alternatives to Peer Review: Novel Approaches for Research Evaluation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2011
|
| DOI | 10.3389/fncom.2011.00056 |
| Pubmed ID | |
| Authors |
Aliaksandr Birukou, Joseph Rushton Wakeling, Claudio Bartolini, Fabio Casati, Maurizio Marchese, Katsiaryna Mirylenka, Nardine Osman, Azzurra Ragone, Carles Sierra, Aalam Wassef |
X Demographics
The data shown below were collected from the profiles of 32 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 States | 8 | 25% |
| Netherlands | 2 | 6% |
| Australia | 2 | 6% |
| United Kingdom | 2 | 6% |
| Italy | 2 | 6% |
| Germany | 1 | 3% |
| Comoros | 1 | 3% |
| Spain | 1 | 3% |
| Canada | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 75% |
| Scientists | 7 | 22% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 3% |
| France | 3 | 3% |
| United States | 3 | 3% |
| Netherlands | 2 | 2% |
| Malaysia | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 99 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 21% |
| Student > Master | 20 | 17% |
| Student > Ph. D. Student | 13 | 11% |
| Other | 10 | 8% |
| Librarian | 8 | 7% |
| Other | 29 | 24% |
| Unknown | 15 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 13% |
| Social Sciences | 15 | 13% |
| Computer Science | 15 | 13% |
| Agricultural and Biological Sciences | 12 | 10% |
| Neuroscience | 7 | 6% |
| Other | 35 | 29% |
| Unknown | 20 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 29 April 2024.
All research outputs
#881,717
of 25,931,626 outputs
Outputs from Frontiers in Computational Neuroscience
#36
of 1,478 outputs
Outputs of similar age
#3,841
of 193,212 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 23 outputs
Altmetric has tracked 25,931,626 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,478 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 193,212 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 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.