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Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks

Overview of attention for article published in IEEE Systems Journal, February 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Elastic-TCP: Flexible Congestion Control Algorithm to Adapt for High-BDP Networks
Published in
IEEE Systems Journal, February 2019
DOI 10.1109/jsyst.2019.2896195
Authors

Mohamed A. Alrshah, Mohamed A. Al-Maqri, Mohamed Othman

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Master 8 18%
Student > Bachelor 3 7%
Lecturer > Senior Lecturer 2 4%
Student > Doctoral Student 1 2%
Other 5 11%
Unknown 15 33%
Readers by discipline Count As %
Computer Science 20 44%
Engineering 5 11%
Chemical Engineering 1 2%
Psychology 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 May 2019.
All research outputs
#7,305,383
of 25,385,509 outputs
Outputs from IEEE Systems Journal
#75
of 534 outputs
Outputs of similar age
#149,925
of 458,043 outputs
Outputs of similar age from IEEE Systems Journal
#2
of 14 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 534 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 458,043 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 67% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.