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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Efficient Approach for the Design and Synthesis of Antimicrobial Peptide-Peptide Nucleic Acid Conjugates
|
|---|---|
| Published in |
Frontiers in Chemistry, March 2022
|
| DOI | 10.3389/fchem.2022.843163 |
| Pubmed ID | |
| Authors |
Nitin A. Patil, Varsha J. Thombare, Rong Li, Xiaoji He, Jing Lu, Heidi H. Yu, Hasini Wickremasinghe, Kavya Pamulapati, Mohammad A. K. Azad, Tony Velkov, Kade D. Roberts, Jian Li |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 33% |
| Switzerland | 1 | 11% |
| Netherlands | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 18% |
| Student > Master | 2 | 12% |
| Unspecified | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 3 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Agricultural and Biological Sciences | 2 | 12% |
| Unspecified | 1 | 6% |
| Unknown | 9 | 53% |
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 07 May 2022.
All research outputs
#6,264,337
of 23,310,485 outputs
Outputs from Frontiers in Chemistry
#429
of 6,109 outputs
Outputs of similar age
#127,109
of 442,894 outputs
Outputs of similar age from Frontiers in Chemistry
#14
of 415 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 6,109 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 92% 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 442,894 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 415 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 96% of its contemporaries.