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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2020
|
| DOI | 10.1186/s13321-020-0410-3 |
| Pubmed ID | |
| Authors |
Myungwon Seo, Hyun Kil Shin, Yoochan Myung, Sungbo Hwang, Kyoung Tai No |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 8% |
| Germany | 1 | 8% |
| Azerbaijan | 1 | 8% |
| India | 1 | 8% |
| Sweden | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Researcher | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Student > Master | 8 | 9% |
| Student > Doctoral Student | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 36 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 13% |
| Chemistry | 10 | 11% |
| Agricultural and Biological Sciences | 4 | 5% |
| Computer Science | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 40 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 19 May 2022.
All research outputs
#2,193,670
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#187
of 934 outputs
Outputs of similar age
#51,834
of 465,928 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 19 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 80% 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 465,928 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.