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Overview of attention for article published in Theoretical Biology and Medical Modelling, January 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
3 tweeters
patent
1 patent

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
123 Mendeley
citeulike
1 CiteULike
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Title
Published in
Theoretical Biology and Medical Modelling, January 2006
DOI 10.1186/1742-4682-3-1
Pubmed ID
Authors

TrevorG Marshall, RobertE Lee, FrancesE Marshall

Abstract

There have been indications that common Angiotensin Receptor Blockers (ARBs) may be exerting anti-inflammatory actions by directly modulating the immune system. We decided to use molecular modelling to rapidly assess which of the potential targets might justify the expense of detailed laboratory validation. We first studied the VDR nuclear receptor, which is activated by the secosteroid hormone 1,25-dihydroxyvitamin-D. This receptor mediates the expression of regulators as ubiquitous as GnRH (Gonadatrophin hormone releasing hormone) and the Parathyroid Hormone (PTH). Additionally we examined Peroxisome Proliferator-Activated Receptor Gamma (PPARgamma), which affects the function of phagocytic cells, and the C-CChemokine Receptor, type 2b, (CCR2b), which recruits monocytes to the site of inflammatory immune challenge.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Spain 1 <1%
Japan 1 <1%
Italy 1 <1%
Unknown 117 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 7%
Researcher 8 7%
Professor > Associate Professor 7 6%
Other 6 5%
Student > Ph. D. Student 5 4%
Other 8 7%
Unknown 80 65%
Readers by discipline Count As %
Medicine and Dentistry 14 11%
Agricultural and Biological Sciences 10 8%
Chemistry 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Computer Science 1 <1%
Other 5 4%
Unknown 83 67%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 November 2018.
All research outputs
#3,551,045
of 13,816,277 outputs
Outputs from Theoretical Biology and Medical Modelling
#52
of 239 outputs
Outputs of similar age
#44,709
of 188,798 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#2
of 4 outputs
Altmetric has tracked 13,816,277 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 239 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 77% 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 188,798 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.