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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PANDA: a pipeline toolbox for analyzing brain diffusion images
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, January 2013
|
| DOI | 10.3389/fnhum.2013.00042 |
| Pubmed ID | |
| Authors |
Zaixu Cui, Suyu Zhong, Pengfei Xu, Yong He, Gaolang Gong |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| United States | 2 | 29% |
| Finland | 1 | 14% |
| Ireland | 1 | 14% |
| Switzerland | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 277 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Netherlands | 2 | <1% |
| Italy | 2 | <1% |
| United Kingdom | 2 | <1% |
| China | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 260 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 67 | 24% |
| Researcher | 43 | 16% |
| Student > Master | 39 | 14% |
| Student > Bachelor | 20 | 7% |
| Student > Doctoral Student | 17 | 6% |
| Other | 44 | 16% |
| Unknown | 47 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 53 | 19% |
| Psychology | 42 | 15% |
| Medicine and Dentistry | 30 | 11% |
| Engineering | 30 | 11% |
| Computer Science | 24 | 9% |
| Other | 44 | 16% |
| Unknown | 54 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 April 2019.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from Frontiers in Human Neuroscience
#3,270
of 7,768 outputs
Outputs of similar age
#83,142
of 295,070 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#433
of 862 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 57% 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 295,070 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.