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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference
|
|---|---|
| Published in |
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, December 2023
|
| DOI | 10.1109/tcad.2023.3342730 |
| Authors |
Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Student > Postgraduate | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 1 | 25% |
| Engineering | 1 | 25% |
| Unknown | 2 | 50% |
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 10 December 2023.
All research outputs
#15,230,112
of 25,460,914 outputs
Outputs from IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
#2,121
of 2,286 outputs
Outputs of similar age
#140,367
of 346,810 outputs
Outputs of similar age from IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
#3
of 3 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,286 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 346,810 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 57% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.