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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of machine learning models for detection of vision threatening Behçet’s disease (BD) using Egyptian College of Rheumatology (ECR)–BD cohort
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2023
|
| DOI | 10.1186/s12911-023-02130-6 |
| Pubmed ID | |
| Authors |
Nevin Hammam, Ali Bakhiet, Eiman Abd El-Latif, Iman I. El-Gazzar, Nermeen Samy, Rasha A. Abdel Noor, Emad El-Shebeiny, Amany R. El-Najjar, Nahla N. Eesa, Mohamed N. Salem, Soha E. Ibrahim, Dina F. El-Essawi, Ahmed M. Elsaman, Hanan M. Fathi, Rehab A. Sallam, Rawhya R. El Shereef, Faten Ismail, Mervat I. Abd-Elazeem, Emtethal A. Said, Noha M. Khalil, Dina Shahin, Hanan M. El-Saadany, Marwa ElKhalifa, Samah I. Nasef, Ahmed M. Abdalla, Nermeen Noshy, Rasha M. Fawzy, Ehab Saad, Abdelhafeez Moshrif, Amira T. El-Shanawany, Yousra H. Abdel-Fattah, Hossam M. Khalil, Osman Hammam, Aly Ahmed Fathy, Tamer A. Gheita |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Librarian | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 6 | 75% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 March 2023.
All research outputs
#20,851,754
of 23,467,261 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,839
of 2,020 outputs
Outputs of similar age
#295,907
of 380,155 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 33 outputs
Altmetric has tracked 23,467,261 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,020 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 380,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.