You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Making species checklists understandable to machines – a shift from relational databases to ontologies
|
|---|---|
| Published in |
Journal of Biomedical Semantics, September 2014
|
| DOI | 10.1186/2041-1480-5-40 |
| Pubmed ID | |
| Authors |
Nina Laurenne, Jouni Tuominen, Hannu Saarenmaa, Eero Hyvönen |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| France | 1 | 2% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Mexico | 1 | 2% |
| Belgium | 1 | 2% |
| Denmark | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 41 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 36% |
| Other | 7 | 14% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 54% |
| Computer Science | 10 | 20% |
| Environmental Science | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 8 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 August 2023.
All research outputs
#7,205,295
of 25,374,647 outputs
Outputs from Journal of Biomedical Semantics
#121
of 368 outputs
Outputs of similar age
#67,297
of 250,138 outputs
Outputs of similar age from Journal of Biomedical Semantics
#6
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 66% 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 250,138 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% 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 4 of them.