| Title |
Highly conductive graphene-based segregated composites prepared by particle templating
|
|---|---|
| Published in |
Journal of Materials Science, December 2013
|
| DOI | 10.1007/s10853-013-7952-y |
| Authors |
Nicholas Heeder, Abayomi Yussuf, Fei Guo, Indrani Chakraborty, Michael P. Godfrin, Robert Hurt, Anubhav Tripathi, Arijit Bose, Arun Shukla |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Professor | 4 | 17% |
| Student > Master | 4 | 17% |
| Student > Postgraduate | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 30% |
| Materials Science | 7 | 30% |
| Chemistry | 4 | 17% |
| Social Sciences | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 December 2016.
All research outputs
#7,557,888
of 23,054,359 outputs
Outputs from Journal of Materials Science
#940
of 4,636 outputs
Outputs of similar age
#92,998
of 307,526 outputs
Outputs of similar age from Journal of Materials Science
#7
of 32 outputs
Altmetric has tracked 23,054,359 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,636 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 26th percentile – i.e., 26% 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 307,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.