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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DECIMER-Segmentation: Automated extraction of chemical structure depictions from scientific literature
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2021
|
| DOI | 10.1186/s13321-021-00496-1 |
| Pubmed ID | |
| Authors |
Kohulan Rajan, Henning Otto Brinkhaus, Maria Sorokina, Achim Zielesny, Christoph Steinbeck |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 11% |
| Japan | 3 | 8% |
| France | 2 | 5% |
| Germany | 2 | 5% |
| India | 1 | 3% |
| Hong Kong | 1 | 3% |
| Australia | 1 | 3% |
| Chile | 1 | 3% |
| Switzerland | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 19 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 53% |
| Scientists | 17 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 32% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 2 | 4% |
| Professor | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 26% |
| Computer Science | 6 | 13% |
| Engineering | 5 | 11% |
| Agricultural and Biological Sciences | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 16 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 September 2023.
All research outputs
#1,194,667
of 24,682,395 outputs
Outputs from Journal of Cheminformatics
#56
of 920 outputs
Outputs of similar age
#32,504
of 427,029 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 27 outputs
Altmetric has tracked 24,682,395 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 920 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 94% 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 427,029 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 92% of its contemporaries.
We're also able to compare this research output to 27 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 99% of its contemporaries.