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X Demographics
Mendeley readers
Attention Score in Context
Title |
LICSS - a chemical spreadsheet in microsoft excel
|
---|---|
Published in |
Journal of Cheminformatics, February 2012
|
DOI | 10.1186/1758-2946-4-3 |
Pubmed ID | |
Authors |
Kevin R Lawson, Jonty Lawson |
Abstract |
Representations of chemical datasets in spreadsheet format are important for ready data assimilation and manipulation. In addition to the normal spreadsheet facilities, chemical spreadsheets need to have visualisable chemical structures and data searchable by chemical as well as textual queries. Many such chemical spreadsheet tools are available, some operating in the familiar Microsoft Excel environment. However, within this group, the performance of Excel is often compromised, particularly in terms of the number of compounds which can usefully be stored on a sheet. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 25% |
Germany | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
Germany | 1 | 1% |
France | 1 | 1% |
Czechia | 1 | 1% |
Spain | 1 | 1% |
United States | 1 | 1% |
Unknown | 63 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 28% |
Student > Ph. D. Student | 15 | 22% |
Student > Bachelor | 7 | 10% |
Other | 4 | 6% |
Professor | 3 | 4% |
Other | 10 | 14% |
Unknown | 11 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 21 | 30% |
Agricultural and Biological Sciences | 12 | 17% |
Medicine and Dentistry | 6 | 9% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Computer Science | 4 | 6% |
Other | 10 | 14% |
Unknown | 12 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 June 2022.
All research outputs
#1,685,953
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#110
of 984 outputs
Outputs of similar age
#11,545
of 257,018 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 984 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 88% 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 257,018 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them