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Predicting Tender Offer Success: A Logistic Analysis

Overview of attention for article published in Journal of Financial & Quantitative Analysis, April 2009
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

policy
1 policy source
reddit
1 Redditor

Readers on

mendeley
76 Mendeley
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Article details
Title
Predicting Tender Offer Success: A Logistic Analysis
Published in
Journal of Financial & Quantitative Analysis, April 2009
DOI 10.2307/2330762
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Student > Bachelor 13 17%
Student > Master 12 16%
Professor 6 8%
Student > Doctoral Student 3 4%
Other 7 9%
Unknown 21 28%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 28 37%
Economics, Econometrics and Finance 25 33%
Engineering 1 1%
Unknown 22 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 February 2022.
All research outputs
#11,901,166
of 34,365,356 outputs
Outputs from Journal of Financial & Quantitative Analysis
#408
of 1,157 outputs
Outputs of similar age
#60,115
of 150,871 outputs
Outputs of similar age from Journal of Financial & Quantitative Analysis
#163
of 414 outputs
Altmetric has tracked 34,365,356 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 1,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 63% 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 150,871 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 59% of its contemporaries.
We're also able to compare this research output to 414 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 59% of its contemporaries.