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Attention Score in Context
| Title |
TDat: An Efficient Platform for Processing Petabyte-Scale Whole-Brain Volumetric Images
|
|---|---|
| Published in |
Frontiers in Neural Circuits, July 2017
|
| DOI | 10.3389/fncir.2017.00051 |
| Pubmed ID | |
| Authors |
Yuxin Li, Hui Gong, Xiaoquan Yang, Jing Yuan, Tao Jiang, Xiangning Li, Qingtao Sun, Dan Zhu, Zhenyu Wang, Qingming Luo, Anan Li |
| Abstract |
Three-dimensional imaging of whole mammalian brains at single-neuron resolution has generated terabyte (TB)- and even petabyte (PB)-sized datasets. Due to their size, processing these massive image datasets can be hindered by the computer hardware and software typically found in biological laboratories. To fill this gap, we have developed an efficient platform named TDat, which adopts a novel data reformatting strategy by reading cuboid data and employing parallel computing. In data reformatting, TDat is more efficient than any other software. In data accessing, we adopted parallelization to fully explore the capability for data transmission in computers. We applied TDat in large-volume data rigid registration and neuron tracing in whole-brain data with single-neuron resolution, which has never been demonstrated in other studies. We also showed its compatibility with various computing platforms, image processing software and imaging systems. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Student > Postgraduate | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 11 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 18% |
| Biochemistry, Genetics and Molecular Biology | 4 | 12% |
| Agricultural and Biological Sciences | 3 | 9% |
| Computer Science | 3 | 9% |
| Engineering | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 11 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 August 2017.
All research outputs
#13,565,862
of 22,996,001 outputs
Outputs from Frontiers in Neural Circuits
#584
of 1,222 outputs
Outputs of similar age
#160,344
of 316,534 outputs
Outputs of similar age from Frontiers in Neural Circuits
#16
of 24 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 50% 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 316,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.