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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Overcoming Surfactant-Induced Morphology Instability of Noncrosslinked Diblock Copolymer Nano-Objects Obtained by RAFT Emulsion Polymerization
|
|---|---|
| Published in |
ACS Macro Letters, January 2018
|
| DOI | 10.1021/acsmacrolett.7b00978 |
| Pubmed ID | |
| Authors |
Nghia P. Truong, Cheng Zhang, Tuan A.H. Nguyen, Athina Anastasaki, Morgan W. Schulze, John F. Quinn, Andrew K. Whittaker, Craig J. Hawker, Michael R. Whittaker, Thomas P. Davis |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Student > Master | 7 | 16% |
| Researcher | 6 | 14% |
| Lecturer | 3 | 7% |
| Student > Postgraduate | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 16 | 36% |
| Chemical Engineering | 6 | 14% |
| Engineering | 3 | 7% |
| Social Sciences | 2 | 5% |
| Materials Science | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 13 | 30% |
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 11 January 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from ACS Macro Letters
#1,010
of 1,457 outputs
Outputs of similar age
#285,060
of 451,175 outputs
Outputs of similar age from ACS Macro Letters
#30
of 38 outputs
Altmetric has tracked 25,382,440 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 1,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 21st percentile – i.e., 21% 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 451,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.