↓ Skip to main content

A bi-functional antibody-receptor domain fusion protein simultaneously targeting IGF-IR and VEGF for degradation

Overview of attention for article published in mAbs, June 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
24 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 bi-functional antibody-receptor domain fusion protein simultaneously targeting IGF-IR and VEGF for degradation
Published in
mAbs, June 2015
DOI 10.1080/19420862.2015.1055442
Pubmed ID
Authors

Yang Shen, Lin Zeng, Ruslan Novosyadlyy, Amelie Forest, Aiping Zhu, Andrew Korytko, Haifan Zhang, Scott W Eastman, Michael Topper, Sagit Hindi, Nicole Covino, Kris Persaud, Yun Kang, Douglas Burtrum, David Surguladze, Marie Prewett, Sudhakar Chintharlapalli, Victor J Wroblewski, Juqun Shen, Paul Balderes, Zhenping Zhu, Marshall Snavely, Dale L Ludwig

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 42%
Student > Ph. D. Student 4 17%
Other 3 13%
Professor 2 8%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 3 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 42%
Agricultural and Biological Sciences 7 29%
Business, Management and Accounting 1 4%
Engineering 1 4%
Unknown 5 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 March 2020.
All research outputs
#4,778,877
of 23,106,934 outputs
Outputs from mAbs
#442
of 1,152 outputs
Outputs of similar age
#59,862
of 265,166 outputs
Outputs of similar age from mAbs
#8
of 21 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,152 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 53% 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 265,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 21 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 57% of its contemporaries.