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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying and relating biological concepts in the Catalogue of Life
|
|---|---|
| Published in |
Journal of Biomedical Semantics, October 2011
|
| DOI | 10.1186/2041-1480-2-7 |
| Pubmed ID | |
| Authors |
Andrew C Jones, Richard J White, Ewen R Orme |
| Abstract |
In this paper we describe our experience of adding globally unique identifiers to the Species 2000 and ITIS Catalogue of Life, an on-line index of organisms which is intended, ultimately, to cover all the world's known species. The scientific species names held in the Catalogue are names that already play an extensive role as terms in the organisation of information about living organisms in bioinformatics and other domains, but the effectiveness of their use is hindered by variation in individuals' opinions and understanding of these terms; indeed, in some cases more than one name will have been used to refer to the same organism. This means that it is desirable to be able to give unique labels to each of these differing concepts within the catalogue and to be able to determine which concepts are being used in other systems, in order that they can be associated with the concepts in the catalogue. Not only is this needed, but it is also necessary to know the relationships between alternative concepts that scientists might have employed, as these determine what can be inferred when data associated with related concepts is being processed. A further complication is that the catalogue itself is evolving as scientific opinion changes due to an increasing understanding of life. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Mexico | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 5% |
| United States | 3 | 5% |
| Mexico | 3 | 5% |
| Bulgaria | 1 | 2% |
| Sweden | 1 | 2% |
| Norway | 1 | 2% |
| Netherlands | 1 | 2% |
| Finland | 1 | 2% |
| Spain | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 42 | 72% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 34% |
| Other | 7 | 12% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 57% |
| Computer Science | 10 | 17% |
| Environmental Science | 2 | 3% |
| Nursing and Health Professions | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 6 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 December 2022.
All research outputs
#2,182,182
of 25,374,917 outputs
Outputs from Journal of Biomedical Semantics
#17
of 368 outputs
Outputs of similar age
#10,731
of 150,538 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 95% 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 150,538 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.