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Mendeley readers
Attention Score in Context
Title |
Calculating the view factor of randomly dispersed multi-sized particles using hybrid GRU-LSTM recurrent neural networks regression
|
---|---|
Published in |
International Journal of Heat & Mass Transfer, March 2023
|
DOI | 10.1016/j.ijheatmasstransfer.2022.123756 |
Authors |
A. Kianimoqadam, J. Lapp |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 4 | 31% |
Student > Bachelor | 2 | 15% |
Student > Ph. D. Student | 2 | 15% |
Researcher | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 46% |
Nursing and Health Professions | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Computer Science | 1 | 8% |
Unknown | 4 | 31% |
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 15 February 2023.
All research outputs
#6,789,033
of 25,478,886 outputs
Outputs from International Journal of Heat & Mass Transfer
#263
of 1,821 outputs
Outputs of similar age
#118,253
of 423,184 outputs
Outputs of similar age from International Journal of Heat & Mass Transfer
#2
of 21 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,821 research outputs from this source. They receive a mean Attention Score of 3.6. 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 423,184 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 71% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.