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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, January 2011
|
| DOI | 10.3389/fninf.2011.00013 |
| Pubmed ID | |
| Authors |
Krzysztof Gorgolewski, Christopher D. Burns, Cindee Madison, Dav Clark, Yaroslav O. Halchenko, Michael L. Waskom, Satrajit S. Ghosh |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,064 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 28 | 3% |
| Germany | 7 | <1% |
| United Kingdom | 4 | <1% |
| France | 3 | <1% |
| Belgium | 3 | <1% |
| Italy | 2 | <1% |
| Switzerland | 2 | <1% |
| Netherlands | 2 | <1% |
| Canada | 2 | <1% |
| Other | 3 | <1% |
| Unknown | 1008 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 277 | 26% |
| Researcher | 193 | 18% |
| Student > Master | 119 | 11% |
| Student > Bachelor | 71 | 7% |
| Student > Doctoral Student | 69 | 6% |
| Other | 138 | 13% |
| Unknown | 197 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 222 | 21% |
| Psychology | 187 | 18% |
| Medicine and Dentistry | 82 | 8% |
| Computer Science | 76 | 7% |
| Engineering | 73 | 7% |
| Other | 146 | 14% |
| Unknown | 278 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 11 March 2021.
All research outputs
#2,370,296
of 26,017,215 outputs
Outputs from Frontiers in Neuroinformatics
#80
of 850 outputs
Outputs of similar age
#12,976
of 197,219 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 25 outputs
Altmetric has tracked 26,017,215 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 850 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 90% 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 197,219 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 93% of its contemporaries.
We're also able to compare this research output to 25 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.