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Predictive Analysis Using Chemical-Gene Interaction Networks Consistent with Observed Endocrine Activity and Mutagenicity of U.S. Streams

Overview of attention for article published in Environmental Science & Technology, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Predictive Analysis Using Chemical-Gene Interaction Networks Consistent with Observed Endocrine Activity and Mutagenicity of U.S. Streams
Published in
Environmental Science & Technology, July 2019
DOI 10.1021/acs.est.9b02990
Pubmed ID
Authors

Jason P. Berninger, David M. DeMarini, Sarah H. Warren, Jane Ellen Simmons, Vickie S. Wilson, Justin M. Conley, Mikayla D. Armstrong, Luke R. Iwanowicz, Dana W. Kolpin, Kathryn M. Kuivila, Timothy J. Reilly, Kristin M. Romanok, Daniel L. Villeneuve, Paul M. Bradley

Twitter Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 41%
Researcher 3 14%
Student > Bachelor 2 9%
Lecturer 1 5%
Other 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline Count As %
Environmental Science 5 23%
Biochemistry, Genetics and Molecular Biology 4 18%
Engineering 2 9%
Business, Management and Accounting 1 5%
Agricultural and Biological Sciences 1 5%
Other 2 9%
Unknown 7 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 July 2019.
All research outputs
#9,459,101
of 15,456,178 outputs
Outputs from Environmental Science & Technology
#11,776
of 14,927 outputs
Outputs of similar age
#144,969
of 260,640 outputs
Outputs of similar age from Environmental Science & Technology
#162
of 231 outputs
Altmetric has tracked 15,456,178 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,927 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 19th percentile – i.e., 19% 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 260,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.