↓ Skip to main content

A bioactivity foundation model using pairwise meta-learning

Overview of attention for article published in Nature Machine Intelligence, August 2024
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
1 news outlet
twitter
22 X users

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A bioactivity foundation model using pairwise meta-learning
Published in
Nature Machine Intelligence, August 2024
DOI 10.1038/s42256-024-00876-w
Authors

Bin Feng, Zequn Liu, Nanlan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Researcher 2 18%
Student > Ph. D. Student 1 9%
Unspecified 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Unspecified 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Agricultural and Biological Sciences 1 9%
Computer Science 1 9%
Medicine and Dentistry 1 9%
Other 2 18%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 02 September 2024.
All research outputs
#1,831,159
of 26,561,175 outputs
Outputs from Nature Machine Intelligence
#414
of 833 outputs
Outputs of similar age
#13,666
of 190,819 outputs
Outputs of similar age from Nature Machine Intelligence
#8
of 25 outputs
Altmetric has tracked 26,561,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.7. 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 190,819 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 92% 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 gotten more attention than average, scoring higher than 68% of its contemporaries.