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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
The avoiding late diagnosis of ovarian cancer (ALDO) project; a pilot national surveillance programme for women with pathogenic germline variants inBRCA1andBRCA2
|
|---|---|
| Published in |
Journal of Medical Genetics, November 2022
|
| DOI | 10.1136/jmg-2022-108741 |
| Pubmed ID | |
| Authors |
Sue Philpott, Maria Raikou, Ranjit Manchanda, Michelle Lockley, Naveena Singh, Malcolm Scott, D Gareth Evans, Julian Adlard, Munaza Ahmed, Richard Edmondson, Emma Roisin Woodward, Athena Lamnisos, Janos Balega, Angela F Brady, Aarti Sharma, Louise Izatt, Anjana Kulkarni, Vishakha Tripathi, Joyce S Solomons, Kevin Hayes, Helen Hanson, Katie Snape, Lucy Side, Steve Skates, Alistair McGuire, Adam N Rosenthal |
Twitter Demographics
The data shown below were collected from the profiles of 39 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 33% |
| United Kingdom | 9 | 23% |
| France | 1 | 3% |
| Unknown | 16 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 69% |
| Scientists | 6 | 15% |
| Practitioners (doctors, other healthcare professionals) | 4 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Unspecified | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 27% |
| Philosophy | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unspecified | 1 | 9% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 296. 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 19 June 2023.
All research outputs
#110,964
of 24,457,696 outputs
Outputs from Journal of Medical Genetics
#4
of 3,038 outputs
Outputs of similar age
#3,276
of 433,258 outputs
Outputs of similar age from Journal of Medical Genetics
#2
of 34 outputs
Altmetric has tracked 24,457,696 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,038 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 99% 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 433,258 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 99% of its contemporaries.
We're also able to compare this research output to 34 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 97% of its contemporaries.