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Mendeley readers
Attention Score in Context
| Title |
MOLE 2.0: advanced approach for analysis of biomacromolecular channels
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2013
|
| DOI | 10.1186/1758-2946-5-39 |
| Pubmed ID | |
| Authors |
David Sehnal, Radka Svobodová Vařeková, Karel Berka, Lukáš Pravda, Veronika Navrátilová, Pavel Banáš, Crina-Maria Ionescu, Michal Otyepka, Jaroslav Koča |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 5 | 3% |
| United States | 2 | 1% |
| Chile | 1 | <1% |
| Lithuania | 1 | <1% |
| Argentina | 1 | <1% |
| Portugal | 1 | <1% |
| Spain | 1 | <1% |
| Serbia | 1 | <1% |
| Unknown | 169 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 32% |
| Student > Bachelor | 25 | 14% |
| Student > Master | 21 | 12% |
| Researcher | 13 | 7% |
| Student > Postgraduate | 7 | 4% |
| Other | 25 | 14% |
| Unknown | 32 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 24% |
| Biochemistry, Genetics and Molecular Biology | 42 | 23% |
| Chemistry | 34 | 19% |
| Computer Science | 10 | 5% |
| Engineering | 5 | 3% |
| Other | 10 | 5% |
| Unknown | 37 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 08 June 2023.
All research outputs
#3,520,573
of 23,989,432 outputs
Outputs from Journal of Cheminformatics
#341
of 885 outputs
Outputs of similar age
#27,075
of 179,175 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 10 outputs
Altmetric has tracked 23,989,432 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 885 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 61% 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 179,175 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 84% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.