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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Contrastive Masked Autoencoders are Stronger Vision Learners
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, March 2024
|
| DOI | 10.1109/tpami.2023.3336525 |
| Pubmed ID | |
| Authors |
Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng |
X Demographics
The data shown below were collected from the profiles of 67 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 | 7 | 10% |
| United Kingdom | 4 | 6% |
| Japan | 4 | 6% |
| India | 3 | 4% |
| Germany | 2 | 3% |
| Korea, Republic of | 2 | 3% |
| South Africa | 1 | 1% |
| Hong Kong | 1 | 1% |
| Poland | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 35 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 52 | 78% |
| Scientists | 15 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Researcher | 14 | 13% |
| Student > Bachelor | 6 | 6% |
| Student > Postgraduate | 5 | 5% |
| Student > Master | 4 | 4% |
| Other | 6 | 6% |
| Unknown | 53 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 37% |
| Engineering | 10 | 9% |
| Unspecified | 1 | <1% |
| Arts and Humanities | 1 | <1% |
| Neuroscience | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 53 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 30 January 2024.
All research outputs
#994,673
of 25,707,225 outputs
Outputs from IEEE Transactions on Software Engineering
#45
of 6,412 outputs
Outputs of similar age
#12,724
of 291,054 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#1
of 79 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,412 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 291,054 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 95% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.