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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Retraction notice to “Experimental study and theoretical modeling for the flexural property of multi-scale hybrid fiber reinforced SHCC” [Case Stud. Constr. Mater. 16 (2022) e1083]
|
|---|---|
| Published in |
Case Studies in Construction Materials, December 2023
|
| DOI | 10.1016/j.cscm.2023.e02232 |
| Authors |
Yubin Zhang, Lishan Wu, Shihui Bao, Cong Zhang, Toshiyuki Bangi |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 04 July 2023.
All research outputs
#1,166,777
of 25,081,505 outputs
Outputs from Case Studies in Construction Materials
#9
of 224 outputs
Outputs of similar age
#13,285
of 268,630 outputs
Outputs of similar age from Case Studies in Construction Materials
#2
of 20 outputs
Altmetric has tracked 25,081,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 96% 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 268,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 20 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 95% of its contemporaries.