The data shown below were collected from the profile of 1 X user 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.
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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Predictive Modeling of Estrogen Receptor Binding Agents Using Advanced Cheminformatics Tools and Massive Public Data
|
---|---|
Published in |
Frontiers in Environmental Science, March 2016
|
DOI | 10.3389/fenvs.2016.00012 |
Pubmed ID | |
Authors |
Kathryn Ribay, Marlene T. Kim, Wenyi Wang, Daniel Pinolini, Hao Zhu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 21% |
Researcher | 7 | 17% |
Student > Bachelor | 5 | 12% |
Student > Doctoral Student | 4 | 10% |
Student > Postgraduate | 3 | 7% |
Other | 9 | 21% |
Unknown | 5 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 17% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 14% |
Agricultural and Biological Sciences | 6 | 14% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Engineering | 3 | 7% |
Other | 10 | 24% |
Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 March 2016.
All research outputs
#18,445,779
of 22,854,458 outputs
Outputs from Frontiers in Environmental Science
#1,363
of 3,251 outputs
Outputs of similar age
#217,760
of 299,380 outputs
Outputs of similar age from Frontiers in Environmental Science
#22
of 29 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,251 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 299,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.