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A Study on Optimal Release Schedule for Multiversion Software

Overview of attention for article published in INFORMS Journal on Computing, January 2024
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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1 Mendeley
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Title
A Study on Optimal Release Schedule for Multiversion Software
Published in
INFORMS Journal on Computing, January 2024
DOI 10.1287/ijoc.2021.0141
Authors

Yeu-Shiang Huang, Chih-Chiang Fang, Chun-Hsuan Chou, Tzu-Liang (Bill) Tseng

X Demographics

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Unknown 1 100%
Attention Score in Context

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 12 September 2023.
All research outputs
#17,279,151
of 25,363,685 outputs
Outputs from INFORMS Journal on Computing
#174
of 315 outputs
Outputs of similar age
#176,175
of 333,091 outputs
Outputs of similar age from INFORMS Journal on Computing
#3
of 5 outputs
Altmetric has tracked 25,363,685 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 315 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 22nd percentile – i.e., 22% 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 333,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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.