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Application of geophysical well log analysis to characterization of aquifers in the Sinai Region, Republic of Egypt

Overview of attention for article published in US Geological Survey, January 1990
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Title
Application of geophysical well log analysis to characterization of aquifers in the Sinai Region, Republic of Egypt
Published in
US Geological Survey, January 1990
DOI 10.3133/wri904194
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Attention Score in Context

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 28 January 2023.
All research outputs
#14,003,703
of 24,156,282 outputs
Outputs from US Geological Survey
#1,209
of 2,316 outputs
Outputs of similar age
#47,902
of 60,359 outputs
Outputs of similar age from US Geological Survey
#13
of 22 outputs
Altmetric has tracked 24,156,282 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,316 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 46th percentile – i.e., 46% 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 60,359 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.