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X Demographics
Mendeley readers
Attention Score in Context
Title |
“Molecular Anatomy”: a new multi-dimensional hierarchical scaffold analysis tool
|
---|---|
Published in |
Journal of Cheminformatics, July 2021
|
DOI | 10.1186/s13321-021-00526-y |
Pubmed ID | |
Authors |
Candida Manelfi, Marica Gemei, Carmine Talarico, Carmen Cerchia, Anna Fava, Filippo Lunghini, Andrea Rosario Beccari |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 3 | 18% |
Venezuela, Bolivarian Republic of | 1 | 6% |
Canada | 1 | 6% |
Sri Lanka | 1 | 6% |
Argentina | 1 | 6% |
United States | 1 | 6% |
Sweden | 1 | 6% |
Israel | 1 | 6% |
Unknown | 7 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 53% |
Members of the public | 7 | 41% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 17% |
Student > Bachelor | 5 | 17% |
Other | 4 | 14% |
Researcher | 3 | 10% |
Student > Postgraduate | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 9 | 31% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Agricultural and Biological Sciences | 2 | 7% |
Computer Science | 2 | 7% |
Environmental Science | 1 | 3% |
Other | 2 | 7% |
Unknown | 11 | 38% |
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 10 February 2023.
All research outputs
#2,288,313
of 25,381,384 outputs
Outputs from Journal of Cheminformatics
#193
of 958 outputs
Outputs of similar age
#52,323
of 430,312 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 21 outputs
Altmetric has tracked 25,381,384 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 79% 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 430,312 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 87% of its contemporaries.
We're also able to compare this research output to 21 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 71% of its contemporaries.