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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology
|
|---|---|
| Published in |
Journal of Biomedical Semantics, October 2022
|
| DOI | 10.1186/s13326-022-00279-z |
| Pubmed ID | |
| Authors |
Yongqun He, Hong Yu, Anthony Huffman, Asiyah Yu Lin, Darren A. Natale, John Beverley, Ling Zheng, Yehoshua Perl, Zhigang Wang, Yingtong Liu, Edison Ong, Yang Wang, Philip Huang, Long Tran, Jinyang Du, Zalan Shah, Easheta Shah, Roshan Desai, Hsin-hui Huang, Yujia Tian, Eric Merrell, William D. Duncan, Sivaram Arabandi, Lynn M. Schriml, Jie Zheng, Anna Maria Masci, Liwei Wang, Hongfang Liu, Fatima Zohra Smaili, Robert Hoehndorf, Zoë May Pendlington, Paola Roncaglia, Xianwei Ye, Jiangan Xie, Yi-Wei Tang, Xiaolin Yang, Suyuan Peng, Luxia Zhang, Luonan Chen, Junguk Hur, Gilbert S. Omenn, Brian Athey, Barry Smith |
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 % |
|---|---|---|
| Japan | 1 | 20% |
| France | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 12% |
| Computer Science | 3 | 12% |
| Economics, Econometrics and Finance | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Other | 6 | 24% |
| Unknown | 7 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 October 2022.
All research outputs
#12,986,153
of 22,986,950 outputs
Outputs from Journal of Biomedical Semantics
#176
of 364 outputs
Outputs of similar age
#158,018
of 441,833 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 3 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 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 51% 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 441,833 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 63% of its contemporaries.
We're also able to compare this research output to 3 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