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Identification of novel inhibitors for TNFα, TNFR1 and TNFα-TNFR1 complex using pharmacophore-based approaches

Overview of attention for article published in Journal of Translational Medicine, July 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
76 Mendeley
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Title
Identification of novel inhibitors for TNFα, TNFR1 and TNFα-TNFR1 complex using pharmacophore-based approaches
Published in
Journal of Translational Medicine, July 2019
DOI 10.1186/s12967-019-1965-5
Pubmed ID
Authors

Madhu Sudhana Saddala, Hu Huang

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Student > Bachelor 10 13%
Researcher 7 9%
Unspecified 6 8%
Student > Master 4 5%
Other 11 14%
Unknown 18 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 18%
Chemistry 7 9%
Unspecified 6 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Immunology and Microbiology 3 4%
Other 16 21%
Unknown 24 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 May 2021.
All research outputs
#7,656,056
of 23,308,124 outputs
Outputs from Journal of Translational Medicine
#1,282
of 4,114 outputs
Outputs of similar age
#135,940
of 348,761 outputs
Outputs of similar age from Journal of Translational Medicine
#26
of 78 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 64% 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 348,761 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 55% of its contemporaries.
We're also able to compare this research output to 78 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 64% of its contemporaries.