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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, May 2020
|
| DOI | 10.3389/fninf.2020.00018 |
| Pubmed ID | |
| Authors |
Daniel R. Glen, Paul A. Taylor, Bradley R. Buchsbaum, Robert W. Cox, Richard C. Reynolds |
X Demographics
The data shown below were collected from the profiles of 16 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 | 6 | 38% |
| Canada | 2 | 13% |
| Cuba | 1 | 6% |
| Japan | 1 | 6% |
| Switzerland | 1 | 6% |
| Costa Rica | 1 | 6% |
| China | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Researcher | 7 | 24% |
| Student > Master | 4 | 14% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 14 | 48% |
| Psychology | 4 | 14% |
| Engineering | 3 | 10% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 08 June 2020.
All research outputs
#3,619,341
of 25,550,333 outputs
Outputs from Frontiers in Neuroinformatics
#177
of 842 outputs
Outputs of similar age
#93,239
of 428,471 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#11
of 13 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 842 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 79% 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 428,471 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 78% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.