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Transactions on Computational Collective Intelligence XXX

Overview of attention for book
Attention for Chapter 9: Hiring Expert Consultants in E-Healthcare: An Analytics-Based Two Sided Matching Approach
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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6 X users

Citations

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1 Dimensions

Readers on

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6 Mendeley
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Chapter title
Hiring Expert Consultants in E-Healthcare: An Analytics-Based Two Sided Matching Approach
Chapter number 9
Book title
Transactions on Computational Collective Intelligence XXX
Published in
arXiv, January 2018
DOI 10.1007/978-3-319-99810-7_9
Book ISBNs
978-3-31-999809-1, 978-3-31-999810-7
Authors

Vikash Kumar Singh, Sajal Mukhopadhyay, Aniruddh Sharma, Arpan Roy, Fatos Xhafa, Kumar Singh, Vikash, Mukhopadhyay, Sajal, Xhafa Xhafa, Fatos, Sharma, Aniruddh, Roy, Arpan, Singh, Vikash Kumar, Xhafa, Fatos

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Social Sciences 1 17%
Engineering 1 17%
Unknown 2 33%
Attention Score in Context

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 11 January 2019.
All research outputs
#15,484,645
of 24,998,746 outputs
Outputs from arXiv
#266,118
of 1,020,287 outputs
Outputs of similar age
#245,948
of 454,273 outputs
Outputs of similar age from arXiv
#6,135
of 19,162 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 71% 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 454,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19,162 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 63% of its contemporaries.